Tata Capital
Company Details
Linkedin ID:
tata-capital
Website:
Employees number:
12,733
Number of followers:
762,968
NAICS:
52
Industry Type:
Homepage:
tatacapital.com
IP Addresses:
0
Company ID:
TAT_9879652
Scan Status:
In-progress
Tata Capital Company CyberSecurity Posture
tatacapital.com
Tata Capital Limited is a subsidiary of Tata Sons Limited. The Company is registered with the Reserve Bank of India as a Core Investment Company and offers through itself and its subsidiaries fund and fee-based financial services to its customers, under the Tata Capital brand. As a trusted and customer-centric, one-stop financial services provider, Tata Capital caters to the diverse needs of retail, corporate and institutional customers, across various areas of business namely the Commercial Finance, Infrastructure Finance, Cleantech Finance, Wealth Management, Consumer Loans and distribution and marketing of Tata Cards. Tata Capital has over 500+ branches spanning all critical markets in India.
Tata Capital A.I CyberSecurity Scoring
Tata Capital Risk Score (AI oriented)Between 750 and 799
Tata Capital
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Tata Capital Company CyberSecurity News & History
Past Incidents
24
Attack Types
3
Jaguar Land Rover
Breach
Rankiteo Explanation
Attack threatening the organization's existence
Description: A massive data leak has revealed the personnel files of hundreds of employees at Jaguar Land Rover's factory in Solihull, England. The documents reveal details such as sick days used, disciplinary issues, and most notably red lines indicating potential firings in the weeks or months ahead. The personal records of more than 600 workers were released. The main culprits include a huge slump in sales of diesel-powered vehicles, a vital part of JLR's business in the U.K. and throughout Europe along with fears about how the upcoming "Brexit" will affect business operations.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: The cyber attack on **Jaguar Land Rover (JLR)** in late August 2023 became the **most financially damaging cyber event in British history**, with estimated losses between **£1.6 billion and £2.1 billion** (most likely £1.9 billion). The attack **shut down JLR’s global IT systems**, halting vehicle production at major UK plants (Solihull, Halewood, Wolverhampton) for **five weeks**, resulting in a weekly loss of **5,000 vehicles** and **£108 million in fixed costs and lost profit per week**. Over **5,000 UK organizations** were affected, including **supply chain disruptions** (tier 1, 2, and 3 suppliers), dealership sales losses, and local business impacts due to staff shortages. The **human impact** included job insecurity, pay cuts, and layoffs among suppliers. While production resumed, long-term financial risks remained if **operational technology (OT) was compromised** or recovery delays persisted. The UK government intervened with a **£1.5 billion loan guarantee** to stabilize JLR’s liquidity, raising questions about future state support thresholds for critical economic sectors.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization's existence
Description: Jaguar Land Rover (JLR) suffered a severe cyberattack in September 2025, claimed by the cybercrime group **Scattered Lapsus$ Hunters**, which forced the shutdown of major production plants and disrupted operations for weeks. The attack resulted in **£196 million ($220 million) in direct financial losses** for Q2 (July–September 2025), with stolen data confirmed. The incident caused **production halts, supply chain disruptions, and liquidity crises for suppliers**, leading to a **pre-tax loss of £485 million** (vs. a £398m profit the prior year). The **UK Government intervened with a £1.5 billion loan guarantee** to stabilize operations, which restarted in a phased manner by October 8, 2025. The **Bank of England cited the attack as a key factor in the UK’s weaker-than-expected Q3 2025 GDP**, highlighting its broader economic impact. Despite stabilization, the attack severely damaged profitability, with **EBIT margins dropping to -8.6% (from 5.1% YoY)** and long-term financial strain evident.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the economy of geographical region
Description: The cyberattack on Jaguar Land Rover (JLR) was severe enough to halt car production across its major UK plants for **over a month**, marking an unprecedented disruption in the company’s history. The attack’s ripple effects extended to JLR’s **entire supply chain**, prompting rare **government financial intervention** due to its systemic economic impact. The Bank of England (BoE) explicitly cited the incident as a key factor in the UK’s **slower-than-expected GDP growth (0.2% vs. projected 0.3%)**, estimating potential losses of **£2.1 billion ($2.75 billion) to the local economy** and **over £2 billion in lost revenues for JLR alone**. The Cyber Monitoring Centre classified it as a **Category 3 systemic event**, the first cyberattack in the UK to cause **material economic and fiscal harm at a national level**. The shutdown disrupted operations far beyond JLR, affecting suppliers and trade partners, with economists comparing its severity to crises like the **global financial downturn and COVID-19**—though uniquely crippling due to the **complete halt in production** for weeks.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **late-summer cyberattack** that severely disrupted automotive production for weeks, forcing a phased restart in early October. The attack occurred in **September 2023**, a critical month marking the start of the **2026 Range Rover model year** and the U.K.’s new vehicle registration plate period. Revenue plummeted **24% year-over-year** to **$6.45 billion**, with wholesale units dropping **24%** due to halted operations. The incident crippled JLR’s **supply chain**, impacting **~5,000 organizations** and prompting a **$659 million emergency financing** package for suppliers. The British economy lost an estimated **$2.5 billion**, leading U.K. officials to intervene with a stabilization loan.The attack, suspected to be a **social engineering breach** by a threat group linked to the **April 2023 Marks & Spencer hack**, caused **$313 million in exceptional costs**, including recovery expenses and a voluntary cost-cutting program. JLR reported a **$638 million pre-tax loss** and a **$735 million net loss** for the quarter. Production shutdowns, delayed model launches, and supply chain chaos underscored the attack’s **operational and financial devastation**, with Moody’s warning of escalating **third-party cyber risks** in Europe’s interconnected manufacturing networks.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization's existence
Description: Jaguar Land Rover (JLR) suffered a severe cyber attack that disrupted its operations, leading to significant financial and reputational damage. The incident, part of a broader wave of attacks targeting high-profile organizations, forced production halts, supply chain disruptions, and potential data exposure. According to the Cyber Monitoring Center (CMC), the financial impact of such attacks—including JLR’s—could reach hundreds of millions, with estimates suggesting losses comparable to those faced by retailers like Marks & Spencer (up to £440 million collectively). The attack underscored vulnerabilities in JLR’s cybersecurity culture, particularly around employee awareness and response to phishing or social engineering tactics. While the exact breach method wasn’t detailed, the operational outage and financial strain align with patterns where human error (e.g., spoofed emails, credential sharing) enabled initial access. The incident threatened JLR’s brand trust, customer confidence, and long-term market position, with recovery requiring not just technical fixes but a fundamental shift in employee behavior and risk perception.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the economy of geographical region
Description: A five-week cyber-attack forced Jaguar Land Rover (JLR) to shut down its IT systems and halt global manufacturing operations, including three UK plants (Solihull, Wolverhampton, Halewood). The attack resulted in **zero vehicle production** in September, contributing to a **27% drop in UK car output**—the lowest since 1952. The incident is estimated to cost **£1.9 billion**, marking it as the **most economically damaging cyber event in UK history**. Over **5,000 businesses** were affected, with full recovery not expected until **January 2026**. UK vehicle exports also fell by **24.5%**, disrupting supply chains and delaying production for models like the Range Rover Sport and Jaguar I-Pace. The shutdown caused a **35.9% year-on-year decline** in total vehicle production, threatening the UK’s automotive sector resilience and government targets for domestic manufacturing growth.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **major cyber attack** in early September 2024, forcing a **complete shutdown of its manufacturing operations** for weeks. The attack disrupted production lines, idling over **33,000 UK employees** and halting vehicle assembly. Estimates suggest JLR is losing **£50 million per week** in lost production, with supply chain partners—some entirely dependent on JLR—facing potential **closure and job losses**. The UK government intervened with a **£1.5 billion loan guarantee** to stabilize the company and its suppliers. While JLR is gradually resuming partial operations, the attack exposed vulnerabilities in its **just-in-time manufacturing model**, requiring collaboration with cybersecurity experts, the **NCSC (National Cyber Security Centre)**, and law enforcement to secure systems. The incident follows a wave of high-profile cyberattacks on UK businesses, including Marks & Spencer, Co-op, and Harrods, underscoring systemic risks to critical industries.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **major cyberattack in late August 2024**, attributed to the criminal gang *Scattered Lapsus$ Hunters*. The attack exploited a vulnerability in **SAP Netweaver**, forcing JLR to **shut down global manufacturing sites** (UK, China, India, Brazil, Slovakia) for weeks. The disruption halted production of **~1,000 vehicles/day**, costing an estimated **£5M/day in lost profits** and **30,000+ 'lost' vehicles** that cannot be recovered. Supply chain collapse triggered **layoffs, short-time work schedules, and financial strain** across **13,000+ jobs** in the UK’s automotive sector, with suppliers facing **16% loan interest rates** and **emergency bank guarantees**. The UK government intervened with a **£1.5B emergency loan** to stabilize suppliers, marking an unprecedented bailout for a private, foreign-owned firm. The attack exposed **legacy IT vulnerabilities** from JLR’s Ford-era infrastructure, compounded by prior **unaddressed warnings** (e.g., June 2024 credential leaks by *Deep Specter Research*) and a **March 2024 ransomware breach** linked to the same hackers. Recovery remains slow, with **weeks needed to restore full capacity** and long-term reputational damage.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: In September 2025, Jaguar Land Rover (JLR), a British luxury automaker under Tata Motors, suffered a severe cyberattack that crippled its global operations. The incident forced an immediate shutdown of IT systems, halting production across multiple facilities and causing a **$2.4 billion financial loss**, including **$1.3 billion in production losses alone**. The attack disrupted global supply chains, delaying U.S. parts shipments and exacerbating tariff-related challenges for luxury imports. Dealers faced inventory shortages, while suppliers laid off workers due to halted demand. The company also disclosed a **potential customer data breach**, raising concerns over exposed sensitive information. Recovery efforts were slow, with phased restarts failing to fully restore operations, leading to a **7% drop in Tata Motors’ share price** and revised downward fiscal forecasts. The attack exposed vulnerabilities in JLR’s interconnected ‘smart factory’ systems, outsourced cybersecurity, and supply chain dependencies, triggering broader industry concerns about digital resilience in automotive manufacturing.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the economy of geographical region
Description: The cyber-attack on **Jaguar Land Rover (JLR)** in August 2024 is considered the most economically damaging in British history, with estimated losses exceeding **£1.9 billion** and potential for further financial escalation. The attack forced a **complete shutdown of all factories and offices globally**, including key UK sites (Halewood, Solihull, Castle Bromwich) and international locations (China, Slovakia, Brazil). Production remained crippled for months, with only a **limited restart in early October** and full recovery not expected until **January 2025**.The disruption extended to **5,000 supplier organizations** across the UK, leading to **mass layoffs, cashflow crises, and supply chain collapses**. Smaller suppliers, lacking JLR’s financial resilience (backed by parent company **Tata Group**), bore severe operational and economic strain. The UK government intervened with a **£1.5bn loan guarantee** to stabilize the supply chain, while JLR pre-paid for parts to mitigate downstream damage. Analysts estimated daily losses of **£50 million** during the shutdown.The **Cyber Monitoring Centre (CMC)** classified the incident as a **category 3 systemic event**, highlighting its **systemic risk to the UK economy** due to lost manufacturing output, supply chain paralysis, and downstream impacts on dealerships. Reports also indicated JLR **lacked active cyber insurance** during the attack, exacerbating financial exposure. The hack underscored vulnerabilities in critical industrial networks and the cascading economic consequences of large-scale cyber disruptions.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR), owned by Tata Motors, suffered a severe **cyber attack** in early September 2023, forcing the shutdown of multiple factories globally, including in the **UK, Slovakia, Brazil, and India**. The attack disrupted production, supply chains, and financial operations, leading to a **backlog of supplier invoices, delayed parts distribution, and stalled vehicle sales/registrations**. The UK government intervened with a **$2 billion loan guarantee** to mitigate the financial fallout, aiming to safeguard **34,000 direct jobs and 120,000 supply-chain roles** tied to JLR. The incident contributed to **Tata Group losing over $75 billion in market value** this year, with the JLR shutdown cited as a key factor. While partial systems were restored by late September, full recovery remains ongoing, with **phased production resumption** announced in early October. Small suppliers dependent on JLR also faced operational disruptions, compounding the economic impact.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **major cyberattack** in September 2025, attributed to the hacking group *Scattered Lapsus$ Hunters*. The attack exploited a known vulnerability (**CVE-2015-2291**) in Intel’s Ethernet Diagnostics Driver, leading to **widespread disruption** across manufacturing, IT systems, and dealership operations. Key production sites in the UK (**Solihull, Halewood**) and international facilities were forced to halt vehicle production, while dealerships faced issues registering new vehicles. The company proactively shut down IT systems to contain the breach, but recovery is expected to take **weeks**, with significant financial losses due to downtime (millions per day), supply chain disruptions, and potential regulatory fines under **GDPR**. The attack highlights vulnerabilities in JLR’s **just-in-time logistics** and interconnected supply chain, where a single breach cascaded into operational paralysis. The incident marks the **second cyberattack on JLR in 2025**, following an earlier ransomware attack by *HELLCAT*. Experts warn of long-term reputational damage, erosion of customer trust, and heightened scrutiny from regulators. The company is now prioritizing cybersecurity upgrades, including **identity-based attack defenses** and resilience measures, as the automotive sector faces escalating threats from sophisticated hacking collectives.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a severe cyber attack that forced the company to extend its production pause until October 1, 2024. The incident disrupted operations for over three weeks, significantly impacting the automaker’s supply chain, suppliers, and retailers. JLR is collaborating with cybersecurity specialists, the UK’s National Cyber Security Centre (NCSC), and law enforcement to investigate and restore secure operations. The UK government is assessing the broader economic impact, as prolonged halts have strained supplier businesses. The attack’s scale suggests critical operational disruptions, with potential long-term financial and reputational damage. While no specific data breach details were disclosed, the prolonged outage indicates a high-severity incident threatening core business continuity.
Jaguar Land Rover (JLR)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **devastating cyber attack** in 2025 that **brought the company to a complete standstill for weeks**, forcing it to halt all operations. The breach disrupted production lines, supply chains, and internal systems, leading to severe financial strain. JLR had to **seek government assistance to avoid mass layoffs**, highlighting the attack’s catastrophic economic impact. The shutdown also triggered a **ripple effect across thousands of smaller supplier businesses**, which rely on JLR as a key customer, exacerbating losses across the UK’s automotive sector. While the article does not specify the exact nature of the attack (e.g., ransomware, data exfiltration, or system sabotage), the **prolonged operational paralysis and financial distress** suggest a high-severity incident targeting core business functions. The attack’s scale and consequences align with threats capable of **jeopardizing an organization’s existence**, particularly given the broader economic repercussions.
Jaguar Land Rover
Ransomware
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR), a prominent UK-based automotive manufacturer, fell victim to a sophisticated **AI-driven ransomware attack** in the past year, contributing to the broader wave of high-profile incidents targeting major British enterprises. The attack, likely accelerated by AI-powered tools, resulted in **significant operational disruption and data loss**, aligning with trends highlighted in CrowdStrike’s report where 78% of organizations faced ransomware in 2023. JLR’s incident exacerbated financial strain, with the UK economy losing **billions** due to such attacks on critical sectors. The breach compromised sensitive corporate and customer data, with recovery efforts hampered by the attackers’ ability to bypass traditional defenses. Despite potential ransom payments, the company likely experienced **repeated attacks** (as seen in 83% of cases) and **incomplete data restoration** (affecting 40% of firms). The incident underscored vulnerabilities in JLR’s incident response, as only 38% of victims addressed root causes post-attack. The financial and reputational damage extended beyond immediate losses, impacting supply chains and customer trust in a highly competitive industry.
Jaguar Land Rover
Ransomware
Rankiteo Explanation
Attack threatening the economy of geographical region
Description: A catastrophic cyberattack on Jaguar Land Rover, the UK’s largest automaker, disrupted its global manufacturing operations, halting production lines for weeks across at least three UK plants. The attack also crippled dealer systems, causing intermittent unavailability, and led to cancelled or delayed orders for suppliers, creating widespread uncertainty. The financial toll reached an estimated **£1.9 billion ($2.5 billion)**, surpassing the economic damage of the 2017 WannaCry attack. The incident was severe enough to reduce the UK’s GDP growth by 0.2% in the quarter, per the Bank of England, marking it as the most economically devastating cyberattack in British history. While no customer data theft was confirmed, the attack paralyzed industrial production—a rare and extreme outcome for cyber incidents. Evidence suggests the attack involved **ransomware**, with hackers encrypting systems and demanding payment for restoration, though the company took nearly a month to partially resume operations. The ripple effects extended to dealerships, parts suppliers, and export markets, notably the U.S.
Jaguar Land Rover (JLR)
Ransomware
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a severe cyberattack in early 2024, resulting in a **£196 million ($220 million) financial loss** in the quarter ending September 30. The attack disrupted operations, caused manufacturing delays, and forced reliance on manual processes, severely impacting productivity. The incident was linked to a **ransomware attack** (likely LockBit) targeting Tata Consultancy Services (TCS), a critical supplier, though JLR did not confirm ransom payments. Recovery costs included IT restoration, investigation, containment, and process inefficiencies. While no direct customer data breach occurred, the attack crippled back-office systems, supply chain communications, and production planning, leading to a **£15 million pre-tax loss** (down from a £442 million profit in the prior quarter). The case highlights the escalating cyber risks in automotive manufacturing, where third-party vulnerabilities and operational disruptions can inflict massive financial and reputational damage.
Jaguar Land Rover (JLR)
Ransomware
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Jaguar Land Rover (JLR) suffered a **month-long shutdown of its factories** due to a **ransomware attack** in August, severely disrupting its vast supply chain—including numerous small and medium-sized suppliers employing around **200,000 people**. The UK government intervened with a **£1.5bn loan guarantee** to mitigate financial fallout, while JLR faced an estimated **£200m loss in production** alone. The attack occurred as the company was finalizing a **cyber insurance policy** (with potential premiums of **£5m+** and excesses of **£10m+**), highlighting vulnerabilities in its cyber defenses. The incident underscored broader risks to **operational continuity, financial stability, and supplier livelihoods**, with layoffs already reported among affected firms. The attack also exposed gaps in **data loss prevention**, as cybercriminals increasingly target **sensitive business data (contracts, IP, financials)** for extortion, threatening long-term reputational and economic damage.
Tata Motors
Breach
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Tata Motors suffered a severe data breach exposing **70TB of sensitive corporate and customer data** due to misconfigured AWS access, a vulnerability likely exacerbated by unauthorized 'shadow AI' deployments. The breach, reported by Undercode News in October 2025, highlights how employees bypassing IT protocols—such as using unvetted AI tools for analytics or automation—can introduce critical security gaps. The exposed data may include proprietary intellectual property, financial records, employee details, and customer information, posing risks of regulatory fines, reputational damage, and competitive disadvantages. The incident aligns with broader industry warnings about shadow AI creating blind spots in governance, where unsanctioned tools (e.g., generative AI platforms) grant third-party access to confidential data without oversight. The breach’s scale and the involvement of cloud misconfigurations—often linked to unauthorized tool integrations—underscore the systemic risks of ungoverned AI adoption in enterprise environments.
Tata Motors (Jaguar Land Rover)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Tata Motors, the parent company of Jaguar Land Rover, suffered a severe cyberattack that forced a shutdown of production in the UK. The incident resulted in exceptional costs of **£196 million ($258 million)** directly tied to the attack, while revenue plummeted from **£6.5 billion to £4.9 billion ($8.5 billion to $6.4 billion)** year-over-year. The financial strain was partially offset by sales growth in India, but the CFO acknowledged the attack as a **major operational disruption**, highlighting its escalating frequency across industries. The attack’s scale—costing the company an estimated **£1.8 billion ($2.35 billion)** in total losses—underscores its catastrophic impact on production, supply chains, and profitability. The prolonged outage and financial hemorrhage align with high-severity cyber incidents that threaten organizational viability, particularly in manufacturing-heavy sectors like automotive.
Tata Technologies
Ransomware
Rankiteo Explanation
Attack with significant impact with internal employee data leaks
Description: Tata Technologies, a subsidiary of Tata Motors, encountered a ransomware attack leading to the suspension of certain IT services as a precautionary measure. The incident targeted a segment of its IT infrastructure. While client delivery services remained unaffected, the extent of data breach, if any, was not disclosed. Notably, this follows a previous cyber incident in October 2022 where Tata Power faced a ransomware attack, with subsequent leakage of stolen information by Hive ransomware gang including sensitive employee and operational data.
Tata Technologies
Ransomware
Rankiteo Explanation
Attack with significant impact with internal employee data leaks
Description: The Hunters International ransomware gang targeted Tata Technologies in a January cyberattack, claiming to have stolen 1.4TB of data, disrupting IT systems but not affecting client delivery services. The impact on operations was reported as minimal, with no client data or critical service disruptions mentioned, but the breach included a threat to release the stolen files if no ransom was paid.
Tata Technologies
Ransomware
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: Tata Technologies, a global engineering and product development digital services company, was one of the victims of the Hunters International cybercriminal group. During their operations, before considering a move away from ransomware to purely data theft extortion schemes, Hunters International compromised and possibly extracted sensitive data from the company. The exact nature of the data stolen or the full consequences of the breach were not detailed, but given the profile of the company and the typical operational patterns of ransomware groups, the impact could be significant in terms of financial loss, intellectual property theft, and reputational damage.
Tata Capital Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for Tata Capital
Incidents vs Financial Services Industry Average (This Year)
No incidents recorded for Tata Capital in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Tata Capital in 2025.
Incident Types Tata Capital vs Financial Services Industry Avg (This Year)
No incidents recorded for Tata Capital in 2025.
Incident History — Tata Capital (X = Date, Y = Severity)
Tata Capital cyber incidents detection timeline including parent company and subsidiaries
Tata Capital Company Subsidiaries
Tata Capital Limited is a subsidiary of Tata Sons Limited. The Company is registered with the Reserve Bank of India as a Core Investment Company and offers through itself and its subsidiaries fund and fee-based financial services to its customers, under the Tata Capital brand. As a trusted and customer-centric, one-stop financial services provider, Tata Capital caters to the diverse needs of retail, corporate and institutional customers, across various areas of business namely the Commercial Finance, Infrastructure Finance, Cleantech Finance, Wealth Management, Consumer Loans and distribution and marketing of Tata Cards. Tata Capital has over 500+ branches spanning all critical markets in India.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Tata Capital CyberSecurity History Information
Official Website of Tata Capital
The official website of Tata Capital is http://www.tatacapital.com.
Tata Capital’s AI-Generated Cybersecurity Score
According to Rankiteo, Tata Capital’s AI-generated cybersecurity score is 792, reflecting their Fair security posture.
How many security badges does Tata Capital’ have ?
According to Rankiteo, Tata Capital currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Tata Capital have SOC 2 Type 1 certification ?
According to Rankiteo, Tata Capital is not certified under SOC 2 Type 1.
Does Tata Capital have SOC 2 Type 2 certification ?
According to Rankiteo, Tata Capital does not hold a SOC 2 Type 2 certification.
Does Tata Capital comply with GDPR ?
According to Rankiteo, Tata Capital is not listed as GDPR compliant.
Does Tata Capital have PCI DSS certification ?
According to Rankiteo, Tata Capital does not currently maintain PCI DSS compliance.
Does Tata Capital comply with HIPAA ?
According to Rankiteo, Tata Capital is not compliant with HIPAA regulations.
Does Tata Capital have ISO 27001 certification ?
According to Rankiteo,Tata Capital is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Tata Capital
Tata Capital operates primarily in the Financial Services industry.
Number of Employees at Tata Capital
Tata Capital employs approximately 12,733 people worldwide.
Subsidiaries Owned by Tata Capital
Tata Capital presently has no subsidiaries across any sectors.
Tata Capital’s LinkedIn Followers
Tata Capital’s official LinkedIn profile has approximately 762,968 followers.
NAICS Classification of Tata Capital
Tata Capital is classified under the NAICS code 52, which corresponds to Finance and Insurance.
Tata Capital’s Presence on Crunchbase
Yes, Tata Capital has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/tata-capital.
Tata Capital’s Presence on LinkedIn
Yes, Tata Capital maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/tata-capital.
Cybersecurity Incidents Involving Tata Capital
As of December 11, 2025, Rankiteo reports that Tata Capital has experienced 24 cybersecurity incidents.
Number of Peer and Competitor Companies
Tata Capital has an estimated 30,346 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Tata Capital ?
Incident Types: The types of cybersecurity incidents that have occurred include Ransomware, Cyber Attack and Breach.
What was the total financial impact of these incidents on Tata Capital ?
Total Financial Loss: The total financial loss from these incidents is estimated to be $84.72 billion.
How does Tata Capital detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with suspension of certain it services, and incident response plan activated with yes (stellantis), incident response plan activated with yes (jlr), and third party assistance with cybersecurity specialists (jlr), third party assistance with ncsc (jlr), third party assistance with law enforcement (jlr), and law enforcement notified with yes (stellantis), law enforcement notified with yes (jlr), law enforcement notified with fbi flash advisory issued, and containment measures with prompt action to contain (stellantis), containment measures with production pause (jlr), and remediation measures with comprehensive investigation (stellantis), remediation measures with phased restart plan (jlr), and recovery measures with customer notifications (stellantis), recovery measures with supply chain recovery (jlr), and communication strategy with press release (stellantis), communication strategy with website notification (jlr), and incident response plan activated with yes (partial recovery by late september), and remediation measures with resuming production in phased manner, remediation measures with clearing supplier invoice backlog, remediation measures with accelerating parts distribution, and recovery measures with uk government loan guarantee (£2 billion), recovery measures with commercial bank financing (5-year repayment), recovery measures with gradual system restoration, and communication strategy with public statements (sept 25, monday announcement), communication strategy with media updates via bloomberg, and and third party assistance with cybersecurity specialists, third party assistance with uk national cyber security centre (ncsc), and and containment measures with complete shutdown of manufacturing operations, containment measures with isolation of affected systems, and remediation measures with collaboration with cybersecurity experts, remediation measures with phased restart of operations, and recovery measures with controlled, phased restart of production, recovery measures with government-backed £1.5bn loan guarantee for supply chain stability, and communication strategy with public statements on progress, communication strategy with updates to employees, retailers, and suppliers, communication strategy with government briefings, and entity with jaguar land rover, status with in progress (insurance policy finalization during attack), entity with marks and spencer, status with activated (ransom reportedly paid), and entity with jaguar land rover, providers with ['uk government (£1.5b loan guarantee)', 'cyber insurance broker'], entity with marks and spencer, providers with ['cyber insurance providers (partial reimbursement expected)'], and recovery measures with jlr: government-backed financial support for supply chain, recovery measures with m&s: insurance claims for £300m loss, and entity with hiscox, action with published cyber readiness report (february 2025), entity with uk government, action with public statements on jlr loan guarantee, and incident response plan activated with partial (some institutions lacked up-to-date plans), and third party assistance with government support (e.g., jlr), third party assistance with cybersecurity firms (unspecified), and containment measures with government intervention (e.g., jlr), containment measures with shutdown of affected systems, and communication strategy with government survey to raise awareness, communication strategy with media reports (bbc), and incident response plan activated with yes (controlled, phased restart of operations), and third party assistance with cybersecurity specialists (unnamed), third party assistance with uk national cyber security centre (ncsc), and law enforcement notified with yes (collaboration with uk law enforcement), and containment measures with systems taken offline immediately, containment measures with isolation of affected networks, containment measures with backup restoration, and remediation measures with patching sap netweaver vulnerability, remediation measures with credential rotation, remediation measures with network segmentation reviews, and recovery measures with phased restart of manufacturing (began september 25, 2024), recovery measures with supply chain coordination, recovery measures with government-backed financial support, and communication strategy with limited public statements, communication strategy with internal updates to employees/retailers/suppliers, communication strategy with no detailed disclosure of ransom demands, and network segmentation with partial (some factory systems walled off, but 'holes' exploited), and enhanced monitoring with likely (post-incident reviews ongoing), and and third party assistance with e2e-assure (incident response), third party assistance with unnamed security partners, and containment measures with proactive it system shutdown, containment measures with disconnection of affected networks, and remediation measures with system wipe/clean/recovery from backups, remediation measures with password resets, remediation measures with firewall rule corrections, remediation measures with patch deployment, and recovery measures with controlled restart of global applications, recovery measures with infrastructure restoration, recovery measures with cyber protection updates, and enhanced monitoring with planned (post-incident), and and remediation measures with it rebuild, remediation measures with recovery efforts, and recovery measures with government-backed £1.5 billion loan guarantee for liquidity, and and third party assistance with uk government (£1.5bn loan guarantee), third party assistance with tata group (financial support), and containment measures with system shutdowns across all sites, containment measures with isolation of affected networks, and remediation measures with upfront payments to suppliers to stabilize cashflow, remediation measures with gradual production restart (october 2025), and recovery measures with targeted full production resumption by january 2026, and communication strategy with limited public statements, communication strategy with no official comment as of report, and incident response plan activated with partially (only 42% upgraded plans post-incident), and containment measures with budget increases (51% of organizations), containment measures with enhanced detection/monitoring (47%), and remediation measures with limited: only 38% addressed root causes of initial attacks, and recovery measures with backup restoration attempts (40% failed to recover all data), and enhanced monitoring with yes (47% of organizations post-incident), and incident response plan activated with yes (phased recovery initiated), and containment measures with it system shutdown, containment measures with global manufacturing halt, and remediation measures with phased reopening of solihull, wolverhampton, halewood plants, and recovery measures with expected full recovery by january 2026, and third party assistance with cyber monitoring center (cmc), third party assistance with loughborough university (prof. oli buckley), and remediation measures with gamified training ('cards against cyber crime'), remediation measures with contextual scenario-based learning, remediation measures with collaborative risk discussions, and communication strategy with internal awareness campaigns, communication strategy with brand trust reinforcement, and containment measures with ai discovery tools, containment measures with advanced monitoring, containment measures with policy enforcement, and remediation measures with employee education, remediation measures with ai governance frameworks, remediation measures with transparency initiatives, remediation measures with audit tools for unauthorized ai, and communication strategy with stakeholder advisories, communication strategy with employee training programs, and enhanced monitoring with ai-powered monitoring for shadow ai, and and third party assistance with uk government (financial support), and and recovery measures with government financial intervention, recovery measures with gradual restart of production, and incident response plan activated with yes (implied by public acknowledgment and recovery efforts), and remediation measures with resuming manufacturing after ~4 weeks, and communication strategy with public acknowledgment on 2024-09-02, communication strategy with no further details provided, and and containment measures with shutdown of production plants, containment measures with isolation of affected systems (implied), and recovery measures with phased restart of production (completed by october 8, 2025), recovery measures with restoration of wholesale, parts logistics, and supplier financing, and communication strategy with public disclosure (september 2, 2025), communication strategy with follow-up statements on data theft and government intervention, communication strategy with financial results publication (q3 2025), and communication strategy with public disclosure in quarterly results; cfo statement acknowledging impact, and and remediation measures with restoration of it services, remediation measures with recovery operations, and recovery measures with systems back online, and and third party assistance with cybersecurity vendors (details unspecified), and containment measures with immediate it system shutdown, containment measures with facility closures, containment measures with staff sent home, and remediation measures with phased restart of manufacturing (late september 2025), remediation measures with cybersecurity bolstering, and recovery measures with operational restoration efforts, recovery measures with supply chain stabilization, and communication strategy with regulatory disclosures (november 14, 2025), communication strategy with public statements by group cfo pb balaji, and enhanced monitoring with post-incident cybersecurity improvements (planned), and incident response plan activated with yes (phased recovery prioritizing clients, retailers, and suppliers), and third party assistance with yes (uk government-backed $659m loan package for suppliers), and containment measures with system shutdown, containment measures with phased restart, and recovery measures with financing solution for suppliers, recovery measures with calibrated operational resumption, and communication strategy with earnings call disclosure (2023-10-27), communication strategy with public statements..
Incident Details
Can you provide details on each incident ?
Title: Jaguar Land Rover Data Leak
Description: A massive data leak has revealed the personnel files of hundreds of employees at Jaguar Land Rover's factory in Solihull, England. The documents reveal details such as sick days used, disciplinary issues, and most notably red lines indicating potential firings in the weeks or months ahead. The personal records of more than 600 workers were released.
Type: Data Leak
Title: Ransomware Attack on Tata Technologies
Description: Tata Technologies encountered a ransomware attack leading to the suspension of certain IT services as a precautionary measure. The incident targeted a segment of its IT infrastructure. While client delivery services remained unaffected, the extent of data breach, if any, was not disclosed. This follows a previous cyber incident in October 2022 where Tata Power faced a ransomware attack, with subsequent leakage of stolen information by Hive ransomware gang including sensitive employee and operational data.
Type: Ransomware Attack
Title: Tata Technologies Ransomware Attack
Description: The Hunters International ransomware gang targeted Tata Technologies in a January cyberattack, claiming to have stolen 1.4TB of data, disrupting IT systems but not affecting client delivery services. The impact on operations was reported as minimal, with no client data or critical service disruptions mentioned, but the breach included a threat to release the stolen files if no ransom was paid.
Date Detected: January 2023
Type: Ransomware
Threat Actor: Hunters International
Motivation: Financial gain
Title: Tata Technologies Data Breach by Hunters International
Description: Tata Technologies, a global engineering and product development digital services company, was one of the victims of the Hunters International cybercriminal group. During their operations, before considering a move away from ransomware to purely data theft extortion schemes, Hunters International compromised and possibly extracted sensitive data from the company. The exact nature of the data stolen or the full consequences of the breach were not detailed, but given the profile of the company and the typical operational patterns of ransomware groups, the impact could be significant in terms of financial loss, intellectual property theft, and reputational damage.
Type: Data Breach
Threat Actor: Hunters International
Motivation: Financial GainIntellectual Property Theft
Title: Unauthorized Access to Stellantis Third-Party Service Provider and Jaguar Land Rover Cyber Attack
Description: Stellantis detected unauthorized access to a third-party service provider’s platform supporting its North American customer service operations. The breach involved contact information but no financial or sensitive personal data. The attack is linked to the ShinyHunters group, which exploited compromised Salesloft Drift OAuth tokens to steal over 1.5 billion Salesforce records from 760 companies. Separately, Jaguar Land Rover (JLR) extended a production pause due to a cyber attack, working with cybersecurity specialists, the NCSC, and law enforcement to investigate and recover.
Type: Data Breach
Attack Vector: Social Engineering (Voice Phishing)Compromised OAuth Tokens (Salesloft Drift)Third-Party Vendor Exploitation
Vulnerability Exploited: Weak Authentication in Third-Party PlatformsOAuth Token MisconfigurationHuman Error (Phishing Susceptibility)
Threat Actor: ShinyHunters (Salesforce Breach)
Motivation: Data TheftExtortionFinancial GainDisruption
Title: Jaguar Land Rover Cyber Attack Forcing Factory Shutdowns
Description: Jaguar Land Rover (JLR) suffered a cyber attack in early September 2023, forcing the shutdown of several factories globally, including in the UK, Slovakia, Brazil, and India. The attack disrupted production, supply chain operations, and financial systems, leading to significant financial losses for Tata Group (JLR's parent company) and requiring a £2 billion ($2.5 billion) UK government loan guarantee to mitigate the impact. Recovery efforts are underway, with partial resumption of operations in a 'controlled and phased' manner.
Date Detected: 2023-09-early
Date Publicly Disclosed: 2023-09-25
Type: Operational Disruption
Title: Jaguar Land Rover (JLR) Cyber Attack and Production Shutdown
Description: Jaguar Land Rover (JLR) experienced a major cyber attack in early September 2024, leading to a complete shutdown of its manufacturing operations. The attack caused significant financial losses (estimated at £50m per week) and operational disruptions, prompting the UK government to intervene with a £1.5bn loan guarantee to stabilize the company and its supply chain. Production is expected to resume in a phased manner in early October, with ongoing collaboration between JLR, cybersecurity specialists, the UK's NCSC, and law enforcement to ensure a secure recovery.
Date Detected: 2024-09-01
Date Publicly Disclosed: 2024-09-01
Type: Cyber Attack
Title: Widespread Ransomware Attacks on UK Businesses (2024-2025)
Description: A series of high-profile ransomware attacks targeted major UK companies, including Marks and Spencer (M&S), Co-op, Jaguar Land Rover (JLR), and a nursery chain. Hiscox's 2025 Cyber Readiness Report revealed that 27% of 5,750 surveyed SMEs were hit by ransomware in the past year, with 80% paying ransoms. Only 60% of those recovered their data fully or partially, and 30% faced follow-up extortion demands. Attacks disrupted operations, caused financial losses (e.g., JLR's £200M production halt, M&S's £300M hit), and exposed gaps in data protection, with cybercriminals increasingly targeting sensitive business data (contracts, financials, IP) over personal information. The UK government provided JLR a £1.5B loan guarantee to mitigate supply chain impacts.
Date Publicly Disclosed: 2025-02-01
Type: ransomware
Attack Vector: phishingexploiting AI vulnerabilitiessupply chain compromise
Vulnerability Exploited: AI system weaknessesinadequate data loss prevention controlsunpatched software
Threat Actor: unnamed ransomware groupscybercriminal syndicates
Motivation: financial gaindata extortionreputational damage leverage
Title: Widespread Cyber Attacks on UK Businesses and Educational Institutions (2025)
Description: UK businesses and institutions faced a surge in cyber attacks in 2025, with 90% of sampled British universities and 43% of businesses experiencing at least one breach in the past 12 months. High-profile incidents included the Jaguar Land Rover (JLR) breach, which halted operations for weeks, and a nursery chain where children's images were used for blackmail. Educational institutions were disproportionately targeted, with 91% of universities, 85% of colleges, and 60% of secondary schools reporting attacks. The ripple effects extended to suppliers and smaller businesses, exacerbating economic disruptions. Many attacks were attributed to domestic teenage hackers renting ransomware from Russian-speaking cybercriminals, driven by both financial gain and notoriety. Outdated cybersecurity protocols were identified as a key vulnerability across sectors.
Date Detected: 2024-01-01
Date Publicly Disclosed: 2025-06-01
Type: cyber attack
Attack Vector: ransomware-as-a-service (RaaS)social engineeringexploiting outdated cybersecurity protocolsdomestic teenage hackersRussian-origin cybercriminal groups
Vulnerability Exploited: outdated cybersecurity protocolslack of up-to-date incident response planspoor network segmentationweak access controls
Threat Actor: English-speaking teenage hackersRussian-speaking cybercriminals (RaaS providers)potential state-sponsored actors (Russia)
Motivation: financial gainnotoriety/kudos in hacking communitiesasymmetric warfare (speculative link to Russia-Ukraine conflict)disruption
Title: Jaguar Land Rover (JLR) Cyberattack Disrupts Global Manufacturing Operations
Description: A major cyberattack on Jaguar Land Rover (JLR) in late August 2024 led to the shutdown of manufacturing sites worldwide, causing hundreds of millions in financial losses and severe supply chain disruptions. The attack was claimed by the criminal gang 'Scattered Lapsus$ Hunters,' which exploited a vulnerability in SAP Netweaver. The UK government intervened with a £1.5 billion emergency loan to mitigate the economic fallout, highlighting the attack's broader impact on jobs and regional economies. JLR's recovery has been gradual, with production resuming in phases but facing long-term operational and reputational challenges.
Date Detected: 2024-08-31
Date Publicly Disclosed: 2024-09-early
Type: Cyberattack
Attack Vector: Exploitation of SAP Netweaver VulnerabilityCredential Theft (via Infostealer Malware)Command and Control Servers
Vulnerability Exploited: SAP Netweaver (specific details undisclosed)
Threat Actor: Scattered Lapsus$ Hunters (coalition of Scattered Spider, Lapsus$, Shiny Hunters)Hacker using username 'Rey' (linked to March 2024 Hellcat ransomware attack)
Motivation: Financial Gain (likely ransomware or data extortion)DisruptionData Theft
Title: Major Cyberattack on Jaguar Land Rover Disrupts Global Operations
Description: Jaguar Land Rover (JLR) suffered a significant cyberattack in early September 2025, leading to production halts at key UK sites (Solihull, Halewood) and global disruptions across manufacturing, IT systems, and dealership operations. The attack, claimed by the 'Scattered Lapsus$ Hunters' group, exploited CVE-2015-2291 in Intel Ethernet Diagnostics Driver for Windows. The incident forced JLR to proactively disable IT systems, causing weeks-long recovery efforts, financial losses, and supply chain ripple effects. The attack underscores vulnerabilities in interconnected 'just-in-time' logistics and third-party supplier risks, with broader implications for Tata Motors and regulatory compliance (e.g., GDPR).
Date Detected: early September 2025
Date Publicly Disclosed: September 2025
Type: Cyberattack
Attack Vector: Exploitation of CVE-2015-2291 (Intel Ethernet Diagnostics Driver)Potential Third-Party Supplier CompromiseIdentity-Based Attack/Social Engineering
Vulnerability Exploited: CVE-2015-2291
Threat Actor: Scattered Lapsus$ Hunters (associated with Scattered Spider/Shiny Hunters)
Motivation: Financial GainDisruptionData Theft
Title: Cyber Attack on Jaguar Land Rover (JLR)
Description: September's attack on Jaguar Land Rover (JLR) is set to be the most expensive cyber event in British history, with an estimated financial impact of £1.6 billion to £2.1 billion (most likely £1.9 billion). The attack led to a shutdown of JLR's IT systems and halted global manufacturing operations for around five weeks, affecting over 5,000 UK organizations, including suppliers and dealerships. The long-term impact could be higher if operational technology (OT) was significantly affected or if production delays persist. The UK government provided a £1.5 billion loan guarantee to support JLR's liquidity, though no taxpayer cost is expected. The incident highlights the critical need for organizations to strengthen IT/OT resilience and map supply chain dependencies to mitigate operational disruption risks.
Date Detected: Late August 2023
Date Publicly Disclosed: September 2023
Type: Cyber Attack (Operational Disruption)
Title: Jaguar Land Rover Cyber Attack - August 2025
Description: The hack of Jaguar Land Rover (JLR) is potentially the most costly cyber-attack in British history, forcing the shutdown of systems across all factories and offices globally (UK, China, Slovakia, Brazil). The attack disrupted production for months, crippled ~5,000 supply chain organizations, and caused an estimated £1.9bn loss to the UK economy, with risks of further escalation if recovery delays persist. JLR, Britain’s largest automotive employer, faced ~£50m weekly losses, while smaller suppliers laid off workers due to cashflow disruptions. The UK government intervened with a £1.5bn loan guarantee to stabilize the supply chain. The incident was classified as a category 3 systemic event by the Cyber Monitoring Centre (CMC), highlighting its severe economic impact on manufacturing, suppliers, and downstream entities like dealerships. JLR reportedly lacked cyber insurance coverage at the time of the attack.
Date Detected: 2025-08
Date Resolved: 2026-01
Type: Cyber Attack
Title: AI-Powered Cybercrime and Ransomware Proliferation (2023-2024)
Description: AI is accelerating cybercrime, with adversaries leveraging the technology to outmaneuver traditional defenses. CrowdStrike’s 2023-2024 State of Ransomware Survey reveals that 76% of organizations struggle to match the speed and sophistication of AI-powered attacks, leading to a surge in ransomware incidents (78% of organizations hit in the past year). Key findings include: 83% of ransom-paying victims were reattacked, 93% had data stolen regardless of payment, and 40% could not fully restore backups. Financially motivated threat actors dominate, with 80% of incidents involving data theft/exfiltration (per Microsoft). High-profile UK targets (e.g., M&S, Co-op, Harrods, Jaguar-Land Rover) contributed to billions in economic losses.
Date Publicly Disclosed: 2024-02-01T00:00:00Z
Type: Ransomware
Attack Vector: AI-Automated Attack ChainsMalware DevelopmentSocial EngineeringExploitation of Traditional Detection Gaps
Vulnerability Exploited: Obsolete Traditional Detection SystemsInadequate Incident Response PlansBackup Restoration FailuresBlind Spots in Monitoring
Threat Actor: Financially Motivated ActorsRansomware GroupsAI-Enhanced Adversaries
Motivation: Financial GainData Theft/ExfiltrationDisruption of Operations
Title: JLR Cyber-Attack Disrupts UK Car Production, Causing 70-Year Low in September
Description: A five-week cyber-attack on Jaguar Land Rover (JLR) forced the shutdown of its IT systems and global manufacturing operations, including three UK plants (Solihull, Wolverhampton, Halewood). The incident halted production entirely in September, contributing to a 27% drop in UK car production—the lowest since 1952. The attack is estimated to cost £1.9bn, affecting 5,000 businesses, with full recovery expected by January 2026. JLR is the UK's second-largest car producer after Nissan. Exports also slumped by 24.5%, impacting key markets like the EU, US, and Japan.
Type: Cyber-Attack
Title: Cybersecurity Culture and Human Risk in Retail Sector (2025)
Description: A series of cyber incidents across high-profile UK retailers (e.g., Jaguar Land Rover, Co-op, Marks & Spencer, HMRC) highlighted systemic vulnerabilities rooted in human behavior and inadequate cybersecurity culture. The incidents underscore the financial, reputational, and operational risks of complacency, with estimated losses up to £440 million. A case study on 'Cards Against Cyber Crime' demonstrated how gamified, contextually relevant training improved threat detection confidence (+9%), reporting understanding (+8%), and peer advisory skills (+6%). The analysis emphasizes the need to shift from compliance-driven training to behavior-based resilience, framing cybersecurity as a human-centric issue tied to brand trust and real-world consequences.
Date Publicly Disclosed: 2025-06
Type: Data Breach
Attack Vector: Phishing EmailsSpoofed Supplier CommunicationsWhatsApp ScamsHuman Error (Misplaced Trust)
Vulnerability Exploited: Lack of Employee AwarenessComplacency in High-Turnover WorkforcesInadequate Reporting ProcessesAbstract Threat Perception
Motivation: Financial GainData TheftReputational DamageExploitation of Human Behavior
Title: Shadow AI’s Silent Siege on Corporate Security
Description: Employees are deploying unauthorized 'shadow AI' systems at an alarming rate (35% surge), bypassing IT oversight and exposing enterprises to security risks like data leaks, regulatory fines, intellectual property theft, and eroded trust. Shadow AI involves unsanctioned use of AI tools (e.g., generative AI, no-code agents) for tasks like data analysis or content generation, creating blind spots in corporate governance. High-profile breaches (e.g., Tata Motors' 70TB data exposure via misconfigured AWS) and zero-click AI attacks (e.g., 'Shadow Escape') highlight the risks. Enterprises lack comprehensive governance frameworks, with only 37% of staff using shadow AI in 2025, posing major data risks across departments like marketing and finance.
Date Publicly Disclosed: 2025-10-28
Type: Unauthorized AI Deployment
Attack Vector: Unauthorized AI Tool UsageNo-Code AI AgentsThird-Party AI Service IntegrationMisconfigured Cloud Access (e.g., AWS)Zero-Click AI Exploits (e.g., 'Shadow Escape')
Vulnerability Exploited: Lack of IT OversightAbsence of AI Governance FrameworksEmployee Use of Unvetted AI ToolsData Sharing with Third-Party AI ServicesWeak Access Controls (e.g., AWS Misconfigurations)
Threat Actor: Insider Threat (Unintentional)Employees Using Unauthorized AICybercriminals Exploiting Shadow AI Vulnerabilities (e.g., Qilin Ransomware Groups)
Motivation: Productivity GainsTask AutomationCompetitive EdgeLack of Awareness About RisksFinancial Gain (for Cybercriminals)
Title: Cyberattack on Jaguar Land Rover (JLR) Disrupts UK GDP Growth
Description: The Bank of England (BoE) cited the cyberattack on Jaguar Land Rover (JLR) as a key factor in the UK's slower-than-expected GDP growth (0.2% in Q3 vs. 0.3% projected). The attack halted JLR's production for nearly a month, causing an estimated £2 billion in lost revenues and up to £2.1 billion in broader economic damage. The UK government intervened with financial support due to the systemic impact on JLR's supply chain. The incident was classified as a Category 3 systemic event by the Cyber Monitoring Centre (CMC), marking the first time a cyberattack caused material economic harm to the UK. The attack followed a wave of cyber incidents targeting UK businesses, including M&S, Co-op, and Harrods, linked to the Scattered Spider group.
Date Publicly Disclosed: 2023-10-05T00:00:00Z
Type: Cyberattack
Threat Actor: Scattered Spider (suspected, unconfirmed)
Motivation: Financial GainDisruption
Title: Catastrophic Cyberattack on Jaguar Land Rover Disrupts U.K. GDP
Description: A cyberattack against British car manufacturer Jaguar Land Rover, the U.K.’s largest automaker, caused a severe disruption in industrial production, leading to a 0.2% reduction in the country’s GDP growth. The attack, which began in August 2024, resulted in an estimated financial loss of £1.9 billion ($2.5 billion), halting production lines for weeks, disrupting dealer systems, and affecting global supply chains. The incident is suspected to be ransomware-related, though no official attribution has been made. The fallout surpassed the economic impact of the 2017 WannaCry attack, making it the most economically devastating cyberattack in British history.
Date Detected: 2024-08-01
Date Publicly Disclosed: 2024-09-02
Type: Cyberattack
Motivation: Financial gain (suspected)Disruption
Title: Cyberattack on Jaguar Land Rover (JLR) Disrupts Production and Incurs £196 Million in Costs
Description: Jaguar Land Rover (JLR) suffered a cyberattack announced on September 2, 2025, which forced the shutdown of major production plants and resulted in data theft. The attack was claimed by the cybercrime group Scattered Lapsus$ Hunters. The incident caused significant financial losses (£196 million in Q3 2025), disrupted supply chains, and led to a UK Government intervention with a £1.5 billion loan guarantee to restore operations. Production resumed by October 8, 2025, after weeks of downtime. The attack severely impacted JLR's profitability, with Q2 losses before tax reaching £485 million, down from a profit of £398 million the previous year. The Bank of England cited the incident as a key factor in the UK's weaker-than-expected Q3 2025 GDP.
Date Publicly Disclosed: 2025-09-02
Date Resolved: 2025-10-08
Type: Cyberattack
Threat Actor: Scattered Lapsus$ Hunters
Motivation: Financial GainDisruption
Title: Cyberattack on Tata Motors (Jaguar Land Rover) Disrupts UK Production
Description: Tata Motors, owner of Jaguar Land Rover, revealed a cyberattack that shut down production in the UK, costing the company approximately £1.8 billion ($2.35 billion). The incident resulted in exceptional costs of £196 million ($258 million) and a revenue drop from £6.5 billion to £4.9 billion ($8.5bn to $6.4bn) year-over-year for the quarter ended September 30th. Sales growth in India partially offset the losses. CFO Richard Molyneux acknowledged the severity of the incident, noting its increasing prevalence among companies.
Type: Cyberattack (Production Disruption)
Title: Jaguar Land Rover Cyberattack and Financial Loss
Description: Jaguar Land Rover (JLR), a British luxury automotive manufacturer, suffered a significant cyberattack earlier in 2023, resulting in a £196 million ($220 million) financial loss. The incident disrupted operations, increased costs, and caused productivity losses, contributing to a pre-tax loss of £15 million in the quarter ending September 30. The attack is believed to have originated from a ransomware incident targeting Tata Consultancy Services (TCS), a key supplier to JLR. While JLR maintained operational continuity, back-office systems and communications were impacted, requiring manual operations during recovery. The company did not disclose whether a ransom was paid or provide details on the specific threat actor.
Type: Cyberattack
Attack Vector: Third-party supplier (Tata Consultancy Services)LockBit ransomware (suspected)
Threat Actor: LockBit (suspected)
Motivation: Financial gain (ransomware)
Title: Jaguar Land Rover (JLR) Cyberattack and Data Breach (2025)
Description: A severe cyberattack on Jaguar Land Rover (JLR), owned by Tata Motors, disrupted global production, supply chains, and potentially exposed customer data. The incident began in early September 2025, costing billions in financial losses and operational disruptions. The attack highlighted vulnerabilities in interconnected automotive manufacturing systems and prompted industry-wide concerns about cybersecurity resilience.
Date Detected: early September 2025
Date Publicly Disclosed: November 14, 2025
Type: cyberattack
Attack Vector: IT system compromisesmart factory integrationsoutsourced cybersecurity vulnerabilities
Vulnerability Exploited: interconnected manufacturing systemsthird-party cybersecurity dependencieslack of system isolation capabilities
Threat Actor: unnamed hacker group (claimed responsibility)
Title: Cyberattack on Jaguar Land Rover Disrupts Production and Supply Chain
Description: Jaguar Land Rover (JLR) experienced a cyberattack in late summer (September 2023) that disrupted automotive production for weeks, leading to a 24% revenue drop in Q2 FY2024. The attack, suspected to be a social engineering incident, was claimed by the same threat group linked to the April 2023 attack on Marks & Spencer. It forced JLR to halt systems during a critical production month, impacting 5,000+ organizations in its supply chain. The company reported a pre-tax loss of $638M, with exceptional costs of $313M tied to the attack. The British economy lost ~$2.5B, prompting UK officials to back a $659M loan package to stabilize suppliers. JLR prioritized phased recovery, resuming operations in early October.
Date Detected: 2023-09
Date Publicly Disclosed: 2023-10-27
Date Resolved: 2023-10-01
Type: Cyberattack
Attack Vector: Social Engineering
Threat Actor: Threat group linked to the April 2023 Marks & Spencer attack
What are the most common types of attacks the company has faced ?
Common Attack Types: The most common types of attacks the company has faced is Cyber Attack.
How does the company identify the attack vectors used in incidents ?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Compromised OAuth Tokens (Salesforce)Voice Phishing (Call Center Social Engineering), Exploited SAP Netweaver vulnerabilityStolen credentials (via infostealer malware in March 2024 Hellcat attack), Potential Third-Party SupplierExploited CVE-2015-2291 Vulnerability, Phishing EmailsSpoofed Messages (WhatsApp, Supplier Impersonation), Employee-Deployed AI ToolsNo-Code AI AgentsThird-Party AI Service Integrations, Third-party supplier (Tata Consultancy Services) and Suspected social engineering.
Impact of the Incidents
What was the impact of each incident ?
Incident : Data Leak JAG19424722
Data Compromised: Personnel files including sick days, disciplinary issues, and potential firings
Incident : Ransomware Attack TAT000020325
Systems Affected: Segment of IT infrastructure
Incident : Ransomware TAT702030425
Data Compromised: 1.4TB
Systems Affected: IT systems
Operational Impact: Minimal
Incident : Data Breach TAT235040325
Data Compromised: Sensitive Data
Brand Reputation Impact: Significant
Incident : Data Breach JAG2932329092525
Data Compromised: Contact information (stellantis)
Systems Affected: Third-Party Service Provider Platform (Salesforce)Jaguar Land Rover Production Systems
Downtime: ['JLR Production Halt (Extended to October 1, >3 Weeks)']
Operational Impact: JLR Supply Chain DisruptionStellantis Customer Service Operations Affected
Brand Reputation Impact: Potential Reputation Damage for Stellantis and JLR
Identity Theft Risk: ['Low (No Financial/Sensitive PII Compromised in Stellantis Breach)']
Payment Information Risk: ['None (Stellantis Breach)']
Incident : Operational Disruption JAG5632056092925
Financial Loss: $75 billion (Tata Group market value loss in 2023, partially attributed to JLR shutdown)
Systems Affected: Production systemsSupplier invoice processingParts distributionVehicle sales/registrations
Downtime: Weeks (factories shut in early September, partial recovery by late September)
Operational Impact: Factory shutdowns (UK, Slovakia, Brazil, India)Supply chain disruptionsBacklog of supplier invoicesDelayed parts distributionSlowed vehicle sales/registrations
Brand Reputation Impact: Potential damage (no specifics provided)
Incident : Cyber Attack JAG1232212092925
Financial Loss: £50m per week (estimated)
Systems Affected: Manufacturing OperationsAssembly LinesSupply Chain Systems
Downtime: Since early September 2024 (extended multiple times, partial restart in early October)
Operational Impact: Complete shutdown of production linesSupply chain disruptionsEmployee furloughs (33,000+ UK employees affected)Risk of supplier closures and job losses
Brand Reputation Impact: Potential long-term damage due to prolonged shutdownGovernment intervention highlights severity
Incident : ransomware JAG3762537093025
Financial Loss: Entity: Jaguar Land Rover (JLR), Amount: £200M (lost production) + £5M (insurance premium) + £10M (excess), Currency: GBP, Entity: Marks and Spencer (M&S), Amount: £300M (initial estimate, partially recoverable via insurance), Currency: GBP, Entity: Co-op, Currency: GBP, Entity: Nursery chain, Currency: GBP, Note: Threatened release of children's personal data, Entity: SMEs (aggregated), Currency: GBP, Note: 60% of surveyed SMEs experienced cyberattacks; many faced fines and operational losses,
Data Compromised: Personal data (e.g., nursery chain children's records), Business-sensitive data (contracts, executive emails, financials, intellectual property)
Systems Affected: JLR factory operations (1-month shutdown)M&S IT infrastructure (mid-April 2024 attack)Co-op systems (unspecified)SME networks (27% of 5,750 surveyed)
Downtime: [{'entity': 'Jaguar Land Rover', 'duration': '1 month (factory shutdown)'}, {'entity': 'Marks and Spencer', 'duration': None}]
Operational Impact: supply chain disruptions (JLR's 200,000 supplier employees affected)staff layoffs (fraction of supplier workforce)production halts (JLR)order cancellations (unspecified businesses)
Revenue Loss: [{'entity': 'Jaguar Land Rover', 'amount': '£200M+', 'currency': 'GBP'}, {'entity': 'Marks and Spencer', 'amount': '£300M (partially insured)', 'currency': 'GBP'}]
Brand Reputation Impact: severe (publicized attacks on high-profile brands)loss of customer trust (SMEs reported reputational damage)potential long-term brand erosion
Legal Liabilities: substantial fines for data protection failures (unspecified amounts)potential lawsuits from affected parties (e.g., nursery chain families)
Identity Theft Risk: [{'entity': 'Nursery chain', 'description': "Children's personal data threatened for release"}]
Incident : cyber attack JAG3192031100625
Financial Loss: Significant (e.g., JLR required government assistance to avoid layoffs; ripple effects on suppliers)
Data Compromised: Children's images (nursery chain), Business operational data (jlr), Potentially pii across sectors
Systems Affected: enterprise IT systems (JLR)educational institution networkssupply chain systems
Downtime: Weeks (e.g., JLR shutdown)
Operational Impact: Severe (e.g., halt in production, supply chain disruptions, government intervention required)
Revenue Loss: Substantial (e.g., JLR and dependent businesses)
Brand Reputation Impact: High (especially for JLR and educational institutions)
Identity Theft Risk: Potential (depending on data exfiltrated)
Incident : Cyberattack JAG0132901100725
Financial Loss: Hundreds of millions of dollars (estimated £5 million/day in lost profits, 30,000+ 'lost' vehicles)
Data Compromised: Internal systems documentation, Vehicle documentation, Potential customer/employee data (unconfirmed)
Systems Affected: Manufacturing systems (UK, China, India, Brazil, Slovakia)SAP Netweaver platformSupply chain logisticsProduction planning databases
Downtime: Weeks (manufacturing halted from late August; partial restart began September 25, 2024)
Operational Impact: Complete halt of global production (1,000+ vehicles/day disrupted)Supply chain bottlenecksLayoffs and short-time work schedules at supplier firmsStorage space shortages for unused parts
Revenue Loss: Estimated £5 million/day (£150+ million for ~30 days)
Customer Complaints: ['Delayed vehicle deliveries (e.g., Navarro Jordan’s Land Rover Defender)', 'Lack of transparency from dealers', 'Frustration over unresolved orders']
Brand Reputation Impact: Negative publicity during Jaguar’s rebranding as an all-electric luxury marqueCriticism of 'woke' advertising compounded by operational failuresErosion of trust among suppliers and customers
Incident : Cyberattack JAG2102021100825
Financial Loss: Millions of dollars per day (downtime costs, revenue loss, operational expenses)
Systems Affected: Manufacturing Facilities (UK: Solihull, Halewood; International Sites)Global IT SystemsDealership OperationsSupply Chain NetworksOperational Technology (OT)
Downtime: Weeks (full recovery expected to take several weeks)
Operational Impact: Production HaltsVehicle Registration DelaysSupply Chain DisruptionsDealer Operations Impaired
Revenue Loss: Significant (hourly losses in millions, extended business interruption)
Brand Reputation Impact: High (eroded customer trust, regulatory scrutiny)
Legal Liabilities: Potential GDPR FinesRegulatory Investigations
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Systems Affected: IT systemsmanufacturing operations (OT potentially impacted)
Downtime: 5 weeks (global manufacturing halt)
Operational Impact: Production Loss: ~5,000 vehicles per week (UK plants: Solihull, Halewood, Wolverhampton), Supply Chain Disruption: {'tier_1_suppliers_affected': '~1,000', 'tier_2_3_suppliers_affected': 'thousands', 'dealerships_affected': 'sales losses', 'local_businesses_impacted': 'revenue loss due to staff absence'}, Organizations Affected: 5,000+ UK organizations,
Brand Reputation Impact: Significant (described as 'most financially damaging cyber event ever to hit the UK')
Incident : Cyber Attack JAG4132041102325
Financial Loss: £1.9bn (UK economy); ~£50m/week (JLR)
Systems Affected: All factories (Halewood, Solihull, Castle Bromwich)Offices globally (UK, China, Slovakia, Brazil)Supply chain systems (~5,000 organizations)Dealership networks
Downtime: August 2025 – January 2026 (limited restart in early October 2025)
Operational Impact: Full production haltSupply chain collapse (layoffs, cashflow disruptions)Delayed recovery risking further losses
Revenue Loss: £1.9bn (estimated total); ~£50m/week during shutdown
Brand Reputation Impact: Potential long-term damage due to prolonged disruptionHigh-profile media coverage
Incident : Ransomware JAG2602026102425
Financial Loss: Billions (UK economy-wide, including M&S, Co-op, Harrods, Jaguar-Land Rover)
Downtime: Significant (25% of organizations faced major disruption)
Operational Impact: High (78% of organizations hit by ransomware; <25% recovered within 24 hours)
Revenue Loss: Substantial (economic losses in billions)
Brand Reputation Impact: High (repeated high-profile incidents)
Incident : Cyber-Attack JAG0032200102425
Financial Loss: £1.9bn (estimated)
Systems Affected: IT systemsGlobal manufacturing operations (Solihull, Wolverhampton, Halewood plants)
Downtime: 5 weeks (full shutdown in September 2024)
Operational Impact: 100% halt in JLR vehicle production for September27% drop in UK car production (lowest since 1952)35.9% drop in total UK vehicle production (year-over-year)24.5% decline in UK vehicle exports15.2% decline in year-to-date UK car/van production (582,250 vehicles vs. 2024)
Brand Reputation Impact: Potential long-term trust erosionShort-term demand surge post-recovery (per Autotrader data)
Incident : Data Breach JAG2932829102425
Financial Loss: £440 million (estimated for Co-op and Marks & Spencer)
Data Compromised: Customer data, Taxpayer accounts (100,000+ in hmrc breach), Loyalty card transactions, Payment information
Operational Impact: Disrupted Operations (e.g., Jaguar Land Rover shutdown)Seasonal Workforce VulnerabilitiesSupplier Chain Disruptions
Brand Reputation Impact: Irreversible DamageLoss of Brand TrustPerception of Negligence
Identity Theft Risk: ['High (Taxpayer Data in HMRC Breach)']
Payment Information Risk: ['High (Retail Transactions Targeted)']
Incident : Unauthorized AI Deployment TAT2032920103125
Data Compromised: Sensitive corporate data, Intellectual property, Proprietary information, Customer data (potential), 70tb of data (tata motors example)
Systems Affected: Enterprise WorkflowsData Analysis ToolsContent Generation PlatformsCloud Storage (e.g., AWS)AI-Powered Applications
Operational Impact: Blind Spots in GovernanceRegulatory Non-ComplianceEroded Stakeholder TrustDisrupted Business Operations
Brand Reputation Impact: Erosion of TrustNegative PublicityPotential Customer Attrition
Legal Liabilities: Regulatory FinesNon-Compliance Penalties (e.g., AI Ethics Laws)Litigation Risks
Identity Theft Risk: ['Potential (via Data Leaks)']
Payment Information Risk: ['Potential (if Financial Data Shared with Unauthorized AI)']
Incident : Cyberattack JAG0132201110725
Financial Loss: £2 billion (JLR alone), up to £2.1 billion (local economy)
Systems Affected: Production PlantsSupply Chain SystemsOperational Infrastructure
Downtime: 1 month (full production halt)
Operational Impact: Complete shutdown of major plantsSupply chain disruptionsGovernment financial intervention required
Revenue Loss: £2 billion (JLR)
Brand Reputation Impact: SevereDescribed as 'one of the worst crises' in company history
Incident : Cyberattack JAG4432644111125
Financial Loss: £1.9 billion ($2.5 billion)
Data Compromised: None (publicly reported)
Systems Affected: Production linesDealer systemsSupply chain management systems
Downtime: Several weeks (production halt)
Operational Impact: Total shutdown of industrial productionCancelled/delayed supplier ordersUncertainty in future order volumes
Brand Reputation Impact: Severe (economic and operational disruption)
Identity Theft Risk: None (publicly reported)
Payment Information Risk: None (publicly reported)
Incident : Cyberattack JAG2592025111525
Financial Loss: £196 million (Q3 2025)
Systems Affected: Production PlantsSupply Chain SystemsParts LogisticsSupplier Financing
Downtime: Approximately 5 weeks (from September 2, 2025, to October 8, 2025)
Operational Impact: Production HaltSupply Chain DisruptionStaff Sent HomeReduced Sales Volumes
Revenue Loss: Loss before tax: £485 million (Q2 2025), down from £398 million profit (Q2 2024); EBIT margin dropped to -8.6% (Q2 2025) from 5.1% (Q2 2024)
Brand Reputation Impact: Significant (cited as a factor in UK GDP decline; likely erosion of stakeholder trust)
Incident : Cyberattack (Production Disruption) TAT0662106111725
Financial Loss: £1.8 billion ($2.35 billion) (total); £196 million ($258 million) (direct exceptional costs)
Systems Affected: Production systems (UK)
Operational Impact: Production shutdown in the UK
Revenue Loss: £1.6 billion ($2.1bn) year-over-year (from £6.5bn to £4.9bn)
Incident : Cyberattack JAG2492124111725
Financial Loss: £196 million ($220 million)
Systems Affected: Back-office systemsCommunications channelsIT services
Operational Impact: Manufacturing delaysProcess inefficienciesReliance on manual operations
Revenue Loss: Pre-tax loss of £15 million (down from £442 million profit in previous quarter)
Incident : cyberattack JAG1593115111725
Financial Loss: $2.4 billion (total); $1.3 billion (production losses)
Data Compromised: Potential customer data exposure (under investigation)
Systems Affected: IT systemsproduction facilitiessupply chain operationssmart factory integrations
Downtime: ['weeks (phased restart began late September 2025)']
Operational Impact: global production haltsupply chain disruptionsparts shipment delayssupplier layoffsuneven recovery
Revenue Loss: ['£791 million hit to Tata’s cash flow', 'EBIT margin decline', '7% share price drop']
Brand Reputation Impact: potential trust erosionregulatory scrutiny riskluxury segment concerns
Legal Liabilities: potential fines for data breach (under assessment)
Identity Theft Risk: ['possible (if customer data exposed)']
Incident : Cyberattack JAG0092700111825
Financial Loss: $735M (post-tax loss for Q2)
Systems Affected: Production systemsSupply chain networks
Downtime: Weeks (September to early October 2023)
Operational Impact: Production halt for weeks, 24% drop in wholesale units, 24% revenue decline in Q2
Revenue Loss: $6.45B (Q2 revenue, down 24% YoY)
Brand Reputation Impact: Significant (highlighted risks in European supply chains per Moody’s report)
What is the average financial loss per incident ?
Average Financial Loss: The average financial loss per incident is $3.53 billion.
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personnel files, Sensitive Data, Contact Information (Stellantis), Customer Data (Farmers Insurance), , Personal Data (Children'S Records), Business-Sensitive Data (Contracts, Emails, Financials, Ip), , Children'S Images, Operational/Business Data, Potentially Pii, , Internal System Screenshots, Vehicle Documentation, Potential Credentials (From Infostealer Malware), , Sensitive Corporate Data, Customer Data (Likely), Intellectual Property, , Personally Identifiable Information (Pii), Taxpayer Data, Payment Details, Loyalty Program Data, , Sensitive Corporate Data, Intellectual Property, Proprietary Information, Customer Data (Potential), Confidential Employee Data, , None (publicly reported), Potential Customer Data (Under Investigation) and .
Which entities were affected by each incident ?
Incident : Data Leak JAG19424722
Entity Name: Jaguar Land Rover
Entity Type: Company
Industry: Automobile Manufacturing
Location: Solihull, England
Incident : Ransomware Attack TAT000020325
Entity Name: Tata Technologies
Entity Type: Corporation
Industry: Technology
Incident : Ransomware TAT702030425
Entity Name: Tata Technologies
Entity Type: Company
Industry: Technology
Incident : Data Breach TAT235040325
Entity Name: Tata Technologies
Entity Type: Company
Industry: Engineering and Product Development Digital Services
Incident : Data Breach JAG2932329092525
Entity Name: Stellantis
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: North America
Incident : Data Breach JAG2932329092525
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: United Kingdom
Incident : Data Breach JAG2932329092525
Entity Name: Farmers Insurance
Entity Type: Insurance Provider
Industry: Financial Services
Location: United States
Customers Affected: 1,000,000+
Incident : Data Breach JAG2932329092525
Entity Name: Salesforce (Third-Party Platform)
Entity Type: Cloud Service Provider
Industry: Technology
Location: Global
Customers Affected: 760 Companies (1.5 Billion Records)
Incident : Operational Disruption JAG5632056092925
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: Global (HQ: UK)
Size: 34,000 employees in UK; 120,000+ jobs tied to supply chain
Incident : Operational Disruption JAG5632056092925
Entity Name: Tata Motors
Entity Type: Parent Company
Industry: Automotive
Location: India
Incident : Operational Disruption JAG5632056092925
Entity Name: Small Suppliers (JLR Supply Chain)
Entity Type: Suppliers
Industry: Automotive/Manufacturing
Location: UKGlobal
Incident : Cyber Attack JAG1232212092925
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: United Kingdom
Size: 33,000+ employees (UK)
Incident : Cyber Attack JAG1232212092925
Entity Name: JLR Supply Chain Partners
Entity Type: Suppliers, Logistics Providers
Industry: Automotive/Manufacturing
Location: Primarily UK (global impact likely)
Incident : ransomware JAG3762537093025
Entity Name: Jaguar Land Rover (JLR)
Entity Type: automotive manufacturer
Industry: automotive
Location: UK
Size: large enterprise
Incident : ransomware JAG3762537093025
Entity Name: Marks and Spencer (M&S)
Entity Type: retailer
Industry: retail
Location: UK
Size: large enterprise
Incident : ransomware JAG3762537093025
Entity Name: Co-op
Entity Type: retail/financial services
Industry: retail/cooperative
Location: UK
Size: large enterprise
Incident : ransomware JAG3762537093025
Entity Name: Unnamed Nursery Chain
Entity Type: childcare provider
Industry: education/childcare
Location: UK
Customers Affected: children in care (personal data at risk)
Incident : ransomware JAG3762537093025
Entity Name: SMEs (Surveyed)
Entity Type: small and medium-sized enterprises
Industry: multiple sectors
Location: UK
Size: 1–250 employees (27% of 5,750 surveyed)
Incident : cyber attack JAG3192031100625
Entity Name: Jaguar Land Rover (JLR)
Entity Type: business
Industry: automotive
Location: UK
Size: large
Customers Affected: Indirectly: suppliers and dependent businesses
Incident : cyber attack JAG3192031100625
Entity Name: Unnamed Nursery Chain
Entity Type: business
Industry: childcare/education
Location: UK
Customers Affected: parents and children (images used for blackmail)
Incident : cyber attack JAG3192031100625
Entity Name: UK Universities (91% of sampled)
Entity Type: educational institution
Industry: higher education
Location: UK
Customers Affected: students, faculty, staff
Incident : cyber attack JAG3192031100625
Entity Name: UK Colleges (85% of sampled)
Entity Type: educational institution
Industry: further education
Location: UK
Customers Affected: students, faculty, staff
Incident : cyber attack JAG3192031100625
Entity Name: UK Secondary Schools (60% of sampled)
Entity Type: educational institution
Industry: secondary education
Location: UK
Customers Affected: students, faculty, staff
Incident : cyber attack JAG3192031100625
Entity Name: UK Primary Schools (44% of sampled)
Entity Type: educational institution
Industry: primary education
Location: UK
Customers Affected: students, faculty, staff
Incident : cyber attack JAG3192031100625
Entity Name: UK Businesses (43% of sampled, ~610,000 extrapolated)
Entity Type: business
Industry: varied
Location: UK
Size: varied (including SMEs)
Customers Affected: varied (including supply chain partners)
Incident : cyber attack JAG3192031100625
Entity Name: UK Charities (~61,000 extrapolated)
Entity Type: non-profit
Industry: charitable
Location: UK
Incident : Cyberattack JAG0132901100725
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: UK (West Midlands headquarters)Global (factories in China, India, Brazil, Slovakia)
Size: Large (part of Tata Motors; ~40,000+ employees globally)
Customers Affected: Thousands (delayed vehicle deliveries, unresolved orders)
Incident : Cyberattack JAG0132901100725
Entity Name: Tata Consultancy Services (TCS)
Entity Type: IT Services Provider
Industry: Technology
Location: India (global operations)
Size: Large (part of Tata Group)
Incident : Cyberattack JAG0132901100725
Entity Name: Black Country Automotive Suppliers (UK)
Entity Type: Manufacturers, Parts Suppliers, Logistics Providers
Industry: Automotive Supply Chain
Location: West Midlands, UK
Size: SMEs to mid-sized (13,000+ employees in the region)
Customers Affected: Dozens of firms (77% reported negative effects, layoffs, financial losses)
Incident : Cyberattack JAG0132901100725
Entity Name: Linamar Corp. (Dunmurry Plant)
Entity Type: Automotive Parts Manufacturer
Industry: Automotive
Location: Northern Ireland, UK
Size: Mid-sized (40+ agency staff laid off; 200+ on short-time schedules)
Customers Affected: JLR’s Ingenium engine production
Incident : Cyberattack JAG0132901100725
Entity Name: Gestamp (Newcastle Plant)
Entity Type: Automotive Components Manufacturer
Industry: Automotive
Location: UK
Customers Affected: Subframe components for JLR
Incident : Cyberattack JAG0132901100725
Entity Name: Michael Beese’s Presswork Firm
Entity Type: Metal Pressings Manufacturer
Industry: Automotive Supply Chain
Location: Walsall, UK
Size: Small (17 employees; layoffs initiated)
Customers Affected: JLR suppliers
Incident : Cyberattack JAG2102021100825
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: Global (HQ: UK)
Size: Large Enterprise
Incident : Cyberattack JAG2102021100825
Entity Name: Tata Motors
Entity Type: Parent Company
Industry: Automotive
Location: India/Global
Size: Large Enterprise
Incident : Cyberattack JAG2102021100825
Entity Name: Unnamed Third-Party Supplier(s)
Entity Type: Supplier
Industry: Automotive/Logistics
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: UK (global operations)
Size: Large (major UK plants: Solihull, Halewood, Wolverhampton)
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Entity Name: JLR Tier 1 Suppliers
Entity Type: Supply Chain Partner
Industry: Automotive/Manufacturing
Location: UK (primarily)
Size: ~1,000 entities
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Entity Name: JLR Tier 2 & 3 Suppliers
Entity Type: Supply Chain Partner
Industry: Automotive/Manufacturing
Location: UK/Global
Size: thousands of entities
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Entity Name: JLR Dealerships
Entity Type: Retail Partner
Industry: Automotive Sales
Location: UK/Global
Customers Affected: Sales losses
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Entity Name: Local Businesses (near JLR plants)
Entity Type: Community/Economic Partner
Industry: Various (e.g., hospitality, services)
Location: UK (Solihull, Halewood, Wolverhampton regions)
Customers Affected: Revenue loss due to reduced staff presence
Incident : Cyber Attack JAG4132041102325
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: UK (Halewood, Solihull, Castle Bromwich)ChinaSlovakiaBrazil
Size: Britain’s largest automotive employer (part of Tata Group)
Incident : Cyber Attack JAG4132041102325
Entity Name: JLR Supply Chain Partners
Entity Type: Suppliers, Manufacturers, Logistics Providers
Industry: Automotive, Manufacturing, Retail
Location: Primarily UK (5,000+ organizations)
Size: ['SMEs to large enterprises']
Incident : Cyber Attack JAG4132041102325
Entity Name: JLR Dealerships
Entity Type: Retail
Industry: Automotive Sales
Location: UK and global
Incident : Ransomware JAG2602026102425
Entity Name: Marks & Spencer (M&S)
Entity Type: Retail
Industry: Retail/FMCG
Location: United Kingdom
Size: Large (FTSE 100)
Incident : Ransomware JAG2602026102425
Entity Name: Co-op Group
Entity Type: Retail/Cooperative
Industry: Retail/Funeralcare/Food
Location: United Kingdom
Size: Large
Incident : Ransomware JAG2602026102425
Entity Name: Harrods
Entity Type: Luxury Retail
Industry: Retail
Location: United Kingdom
Size: Large
Incident : Ransomware JAG2602026102425
Entity Name: Jaguar Land Rover
Entity Type: Automotive
Industry: Manufacturing/Automotive
Location: United Kingdom
Size: Large
Incident : Ransomware JAG2602026102425
Entity Name: Unspecified Organizations (CrowdStrike Survey Respondents)
Industry: Cross-Industry
Location: Global (1,000+ cyber decision-makers surveyed)
Incident : Cyber-Attack JAG0032200102425
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: Solihull, UKWolverhampton, UKHalewood, UK
Size: Large (second-largest UK car producer by volume)
Incident : Cyber-Attack JAG0032200102425
Entity Name: UK Automotive Sector (SMMT members)
Entity Type: Industry Association
Industry: Automotive
Location: UK
Incident : Cyber-Attack JAG0032200102425
Entity Name: 5,000 businesses (indirectly affected)
Entity Type: Suppliers, Partners, Dealerships
Industry: Automotive Supply Chain
Location: Global (primarily UK/EU/US)
Incident : Data Breach JAG2932829102425
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: UK
Size: Large
Incident : Data Breach JAG2932829102425
Entity Name: Co-op
Entity Type: Retailer
Industry: Retail (Groceries)
Location: UK
Size: Large
Incident : Data Breach JAG2932829102425
Entity Name: Marks & Spencer
Entity Type: Retailer
Industry: Retail (Clothing, Food)
Location: UK
Size: Large
Incident : Data Breach JAG2932829102425
Entity Name: HMRC (Her Majesty's Revenue and Customs)
Entity Type: Government Agency
Industry: Public Sector
Location: UK
Size: Large
Customers Affected: 100,000+ taxpayers
Incident : Unauthorized AI Deployment TAT2032920103125
Entity Name: Global Enterprises (General)
Entity Type: Corporations, Multinational Companies, SMEs
Industry: All Industries (e.g., Technology, Finance, Marketing, Manufacturing)
Location: Global
Incident : Unauthorized AI Deployment TAT2032920103125
Entity Name: Tata Motors
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: India (Global Operations)
Size: Large Enterprise
Incident : Unauthorized AI Deployment TAT2032920103125
Entity Name: Malaysian Companies
Entity Type: Corporations, SMEs
Industry: Multiple (e.g., Technology, Finance)
Location: Malaysia
Incident : Unauthorized AI Deployment TAT2032920103125
Entity Name: Australian Businesses
Entity Type: Corporations, SMEs
Industry: Multiple
Location: Australia
Incident : Cyberattack JAG0132201110725
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: United Kingdom
Size: Large (Major global automaker)
Incident : Cyberattack JAG0132201110725
Entity Name: UK Economy
Entity Type: National Economy
Industry: Macroeconomic
Location: United Kingdom
Size: National
Incident : Cyberattack JAG0132201110725
Entity Name: JLR Supply Chain Partners
Entity Type: Supply Chain Network
Industry: Automotive/Manufacturing
Location: United Kingdom (primary), Global (secondary)
Size: Extensive (multi-tiered)
Incident : Cyberattack JAG4432644111125
Entity Name: Jaguar Land Rover
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: United Kingdom
Size: Large (U.K.’s largest automaker)
Incident : Cyberattack JAG4432644111125
Entity Name: U.K. Automotive Suppliers (multiple)
Entity Type: Supply Chain Partners
Industry: Automotive
Location: Global (primarily U.K.)
Incident : Cyberattack JAG4432644111125
Entity Name: Jaguar Land Rover Dealerships
Entity Type: Retail
Industry: Automotive
Location: Global
Incident : Cyberattack JAG2592025111525
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: United Kingdom
Size: Large (Global Enterprise)
Incident : Cyberattack (Production Disruption) TAT0662106111725
Entity Name: Tata Motors (Jaguar Land Rover)
Entity Type: Automotive Manufacturer
Industry: Automotive
Location: UK (production disruption); India (parent company)
Incident : Cyberattack JAG2492124111725
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automotive manufacturer
Industry: Automotive
Location: United Kingdom
Size: Large enterprise
Incident : Cyberattack JAG2492124111725
Entity Name: Tata Consultancy Services (TCS)
Entity Type: IT services provider
Industry: Information Technology
Location: India
Size: Large enterprise
Incident : cyberattack JAG1593115111725
Entity Name: Jaguar Land Rover (JLR)
Entity Type: automotive manufacturer
Industry: luxury automobiles
Location: United Kingdom (HQ)global operations (including India, China, U.S.)
Size: large (multinational)
Customers Affected: potential global customer data exposure (number unspecified)
Incident : cyberattack JAG1593115111725
Entity Name: Tata Motors
Entity Type: parent company
Industry: automotive
Location: India (HQ)global
Size: large (multinational conglomerate)
Incident : cyberattack JAG1593115111725
Entity Name: U.S. Luxury Auto Dealers
Entity Type: distributors
Industry: automotive retail
Location: United States
Customers Affected: delayed vehicle deliveries, parts shortages
Incident : cyberattack JAG1593115111725
Entity Name: Global Suppliers (e.g., parts manufacturers)
Entity Type: third-party vendors
Industry: automotive supply chain
Location: global (including U.S., UK, China, India)
Customers Affected: production stoppages, layoffs, financial losses
Incident : Cyberattack JAG0092700111825
Entity Name: Jaguar Land Rover (JLR)
Entity Type: Automaker
Industry: Automotive
Location: United Kingdom
Size: Large (largest UK automaker)
Incident : Cyberattack JAG0092700111825
Entity Name: 5,000+ supplier organizations
Entity Type: Supply Chain Partners
Industry: Automotive, Manufacturing, Logistics
Location: Multiple countries (Europe-focused)
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Ransomware Attack TAT000020325
Containment Measures: Suspension of certain IT services
Incident : Data Breach JAG2932329092525
Incident Response Plan Activated: ['Yes (Stellantis)', 'Yes (JLR)']
Third Party Assistance: Cybersecurity Specialists (Jlr), Ncsc (Jlr), Law Enforcement (Jlr).
Law Enforcement Notified: Yes (Stellantis), Yes (JLR), FBI Flash Advisory Issued,
Containment Measures: Prompt Action to Contain (Stellantis)Production Pause (JLR)
Remediation Measures: Comprehensive Investigation (Stellantis)Phased Restart Plan (JLR)
Recovery Measures: Customer Notifications (Stellantis)Supply Chain Recovery (JLR)
Communication Strategy: Press Release (Stellantis)Website Notification (JLR)
Incident : Operational Disruption JAG5632056092925
Incident Response Plan Activated: Yes (partial recovery by late September)
Remediation Measures: Resuming production in phased mannerClearing supplier invoice backlogAccelerating parts distribution
Recovery Measures: UK government loan guarantee (£2 billion)Commercial bank financing (5-year repayment)Gradual system restoration
Communication Strategy: Public statements (Sept 25, Monday announcement)Media updates via Bloomberg
Incident : Cyber Attack JAG1232212092925
Incident Response Plan Activated: True
Third Party Assistance: Cybersecurity Specialists, Uk National Cyber Security Centre (Ncsc).
Containment Measures: Complete shutdown of manufacturing operationsIsolation of affected systems
Remediation Measures: Collaboration with cybersecurity expertsPhased restart of operations
Recovery Measures: Controlled, phased restart of productionGovernment-backed £1.5bn loan guarantee for supply chain stability
Communication Strategy: Public statements on progressUpdates to employees, retailers, and suppliersGovernment briefings
Incident : ransomware JAG3762537093025
Incident Response Plan Activated: [{'entity': 'Jaguar Land Rover', 'status': 'in progress (insurance policy finalization during attack)'}, {'entity': 'Marks and Spencer', 'status': 'activated (ransom reportedly paid)'}]
Third Party Assistance: Entity: Jaguar Land Rover, Providers: ['UK government (£1.5B loan guarantee)', 'cyber insurance broker'], Entity: Marks and Spencer, Providers: ['cyber insurance providers (partial reimbursement expected)'].
Recovery Measures: JLR: government-backed financial support for supply chainM&S: insurance claims for £300M loss
Communication Strategy: Entity: Hiscox, Action: published Cyber Readiness Report (February 2025), Entity: UK government, Action: public statements on JLR loan guarantee.
Incident : cyber attack JAG3192031100625
Incident Response Plan Activated: Partial (some institutions lacked up-to-date plans)
Third Party Assistance: Government Support (E.G., Jlr), Cybersecurity Firms (Unspecified).
Containment Measures: government intervention (e.g., JLR)shutdown of affected systems
Communication Strategy: government survey to raise awarenessmedia reports (BBC)
Incident : Cyberattack JAG0132901100725
Incident Response Plan Activated: Yes (controlled, phased restart of operations)
Third Party Assistance: Cybersecurity Specialists (Unnamed), Uk National Cyber Security Centre (Ncsc).
Law Enforcement Notified: Yes (collaboration with UK law enforcement)
Containment Measures: Systems taken offline immediatelyIsolation of affected networksBackup restoration
Remediation Measures: Patching SAP Netweaver vulnerabilityCredential rotationNetwork segmentation reviews
Recovery Measures: Phased restart of manufacturing (began September 25, 2024)Supply chain coordinationGovernment-backed financial support
Communication Strategy: Limited public statementsInternal updates to employees/retailers/suppliersNo detailed disclosure of ransom demands
Network Segmentation: Partial (some factory systems walled off, but 'holes' exploited)
Enhanced Monitoring: Likely (post-incident reviews ongoing)
Incident : Cyberattack JAG2102021100825
Incident Response Plan Activated: True
Third Party Assistance: E2E-Assure (Incident Response), Unnamed Security Partners.
Containment Measures: Proactive IT System ShutdownDisconnection of Affected Networks
Remediation Measures: System Wipe/Clean/Recovery from BackupsPassword ResetsFirewall Rule CorrectionsPatch Deployment
Recovery Measures: Controlled Restart of Global ApplicationsInfrastructure RestorationCyber Protection Updates
Enhanced Monitoring: Planned (post-incident)
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Incident Response Plan Activated: True
Remediation Measures: IT rebuildrecovery efforts
Recovery Measures: Government-backed £1.5 billion loan guarantee for liquidity
Incident : Cyber Attack JAG4132041102325
Incident Response Plan Activated: True
Third Party Assistance: Uk Government (£1.5Bn Loan Guarantee), Tata Group (Financial Support).
Containment Measures: System shutdowns across all sitesIsolation of affected networks
Remediation Measures: Upfront payments to suppliers to stabilize cashflowGradual production restart (October 2025)
Recovery Measures: Targeted full production resumption by January 2026
Communication Strategy: Limited public statementsNo official comment as of report
Incident : Ransomware JAG2602026102425
Incident Response Plan Activated: Partially (only 42% upgraded plans post-incident)
Containment Measures: Budget Increases (51% of organizations)Enhanced Detection/Monitoring (47%)
Remediation Measures: Limited: Only 38% addressed root causes of initial attacks
Recovery Measures: Backup Restoration Attempts (40% failed to recover all data)
Enhanced Monitoring: Yes (47% of organizations post-incident)
Incident : Cyber-Attack JAG0032200102425
Incident Response Plan Activated: Yes (phased recovery initiated)
Containment Measures: IT system shutdownGlobal manufacturing halt
Remediation Measures: Phased reopening of Solihull, Wolverhampton, Halewood plants
Recovery Measures: Expected full recovery by January 2026
Incident : Data Breach JAG2932829102425
Third Party Assistance: Cyber Monitoring Center (Cmc), Loughborough University (Prof. Oli Buckley).
Remediation Measures: Gamified Training ('Cards Against Cyber Crime')Contextual Scenario-Based LearningCollaborative Risk Discussions
Communication Strategy: Internal Awareness CampaignsBrand Trust Reinforcement
Incident : Unauthorized AI Deployment TAT2032920103125
Containment Measures: AI Discovery ToolsAdvanced MonitoringPolicy Enforcement
Remediation Measures: Employee EducationAI Governance FrameworksTransparency InitiativesAudit Tools for Unauthorized AI
Communication Strategy: Stakeholder AdvisoriesEmployee Training Programs
Enhanced Monitoring: AI-Powered Monitoring for Shadow AI
Incident : Cyberattack JAG0132201110725
Incident Response Plan Activated: True
Third Party Assistance: Uk Government (Financial Support).
Recovery Measures: Government financial interventionGradual restart of production
Incident : Cyberattack JAG4432644111125
Incident Response Plan Activated: Yes (implied by public acknowledgment and recovery efforts)
Remediation Measures: Resuming manufacturing after ~4 weeks
Communication Strategy: Public acknowledgment on 2024-09-02No further details provided
Incident : Cyberattack JAG2592025111525
Incident Response Plan Activated: True
Containment Measures: Shutdown of Production PlantsIsolation of Affected Systems (implied)
Recovery Measures: Phased Restart of Production (completed by October 8, 2025)Restoration of Wholesale, Parts Logistics, and Supplier Financing
Communication Strategy: Public Disclosure (September 2, 2025)Follow-up Statements on Data Theft and Government InterventionFinancial Results Publication (Q3 2025)
Incident : Cyberattack (Production Disruption) TAT0662106111725
Communication Strategy: Public disclosure in quarterly results; CFO statement acknowledging impact
Incident : Cyberattack JAG2492124111725
Incident Response Plan Activated: True
Remediation Measures: Restoration of IT servicesRecovery operations
Recovery Measures: Systems back online
Incident : cyberattack JAG1593115111725
Incident Response Plan Activated: True
Third Party Assistance: Cybersecurity Vendors (Details Unspecified).
Containment Measures: immediate IT system shutdownfacility closuresstaff sent home
Remediation Measures: phased restart of manufacturing (late September 2025)cybersecurity bolstering
Recovery Measures: operational restoration effortssupply chain stabilization
Communication Strategy: regulatory disclosures (November 14, 2025)public statements by Group CFO PB Balaji
Enhanced Monitoring: post-incident cybersecurity improvements (planned)
Incident : Cyberattack JAG0092700111825
Incident Response Plan Activated: Yes (phased recovery prioritizing clients, retailers, and suppliers)
Third Party Assistance: Yes (UK government-backed $659M loan package for suppliers)
Containment Measures: System shutdownPhased restart
Recovery Measures: Financing solution for suppliersCalibrated operational resumption
Communication Strategy: Earnings call disclosure (2023-10-27)Public statements
What is the company's incident response plan?
Incident Response Plan: The company's incident response plan is described as Yes (Stellantis), Yes (JLR), , Yes (partial recovery by late September), , entity: Jaguar Land Rover, status: in progress (insurance policy finalization during attack), entity: Marks and Spencer, status: activated (ransom reportedly paid), , Partial (some institutions lacked up-to-date plans), Yes (controlled, phased restart of operations), , , , Partially (only 42% upgraded plans post-incident), Yes (phased recovery initiated), , Yes (implied by public acknowledgment and recovery efforts), , , , Yes (phased recovery prioritizing clients, retailers, and suppliers).
How does the company involve third-party assistance in incident response ?
Third-Party Assistance: The company involves third-party assistance in incident response through Cybersecurity Specialists (JLR), NCSC (JLR), Law Enforcement (JLR), , Cybersecurity Specialists, UK National Cyber Security Centre (NCSC), , entity: Jaguar Land Rover, providers: ['UK government (£1.5B loan guarantee)', 'cyber insurance broker'], entity: Marks and Spencer, providers: ['cyber insurance providers (partial reimbursement expected)'], , government support (e.g., JLR), cybersecurity firms (unspecified), , Cybersecurity specialists (unnamed), UK National Cyber Security Centre (NCSC), , e2e-assure (incident response), Unnamed Security Partners, , UK Government (£1.5bn loan guarantee), Tata Group (financial support), , Cyber Monitoring Center (CMC), Loughborough University (Prof. Oli Buckley), , UK Government (financial support), , cybersecurity vendors (details unspecified), , Yes (UK government-backed $659M loan package for suppliers).
Data Breach Information
What type of data was compromised in each breach ?
Incident : Data Leak JAG19424722
Type of Data Compromised: Personnel files
Number of Records Exposed: 600
Sensitivity of Data: High
Incident : Ransomware TAT702030425
Incident : Data Breach TAT235040325
Type of Data Compromised: Sensitive Data
Sensitivity of Data: High
Incident : Data Breach JAG2932329092525
Type of Data Compromised: Contact information (stellantis), Customer data (farmers insurance)
Number of Records Exposed: 1.5 Billion (Salesforce Breach, 760 Companies), 1,000,000+ (Farmers Insurance)
Sensitivity of Data: Low (Stellantis: No Financial/Sensitive PII)Moderate (Farmers Insurance: Customer Data)
Data Exfiltration: Yes (Salesforce Breach)
Personally Identifiable Information: Contact Details (Stellantis)
Incident : ransomware JAG3762537093025
Type of Data Compromised: Personal data (children's records), Business-sensitive data (contracts, emails, financials, ip)
Sensitivity of Data: high (children's personal data)high (corporate intellectual property)
Data Exfiltration: Entity: Nursery chain, Status: threatened (not confirmed), Entity: Unspecified SMEs, Status: confirmed (per Hiscox report),
Data Encryption: [{'entity': 'Jaguar Land Rover', 'status': 'likely (ransomware attack)'}, {'entity': 'Marks and Spencer', 'status': 'likely (ransomware attack)'}]
Personally Identifiable Information: Entity: Nursery chain, Types: ["children's personal data"],
Incident : cyber attack JAG3192031100625
Type of Data Compromised: Children's images, Operational/business data, Potentially pii
Sensitivity of Data: High (e.g., children's images used for blackmail)
Data Exfiltration: Likely (e.g., nursery chain blackmail)
File Types Exposed: imagespotentially documents, databases
Personally Identifiable Information: Potential (unspecified)
Incident : Cyberattack JAG0132901100725
Type of Data Compromised: Internal system screenshots, Vehicle documentation, Potential credentials (from infostealer malware)
Sensitivity of Data: High (internal operational and proprietary data)
Data Exfiltration: Yes (hackers published images of internal systems)
File Types Exposed: PDFs (vehicle documentation)System screenshotsPotential databases
Incident : Ransomware JAG2602026102425
Type of Data Compromised: Sensitive corporate data, Customer data (likely), Intellectual property
Sensitivity of Data: High (80% of incidents involved data theft/exfiltration per Microsoft)
Personally Identifiable Information: Likely (not specified)
Incident : Data Breach JAG2932829102425
Type of Data Compromised: Personally identifiable information (pii), Taxpayer data, Payment details, Loyalty program data
Number of Records Exposed: 100,000+ (HMRC breach)
Sensitivity of Data: High
Personally Identifiable Information: NamesTax IDsContact DetailsFinancial Records
Incident : Unauthorized AI Deployment TAT2032920103125
Type of Data Compromised: Sensitive corporate data, Intellectual property, Proprietary information, Customer data (potential), Confidential employee data
Number of Records Exposed: 70TB (Tata Motors Example), None
Sensitivity of Data: High (Corporate Secrets, PII, Financial Data)
Data Exfiltration: Potential (via Unauthorized AI Tools)Confirmed in Tata Motors Case
Personally Identifiable Information: Potential (if Shared with AI Tools)
Incident : Cyberattack JAG4432644111125
Type of Data Compromised: None (publicly reported)
Number of Records Exposed: 0
Sensitivity of Data: None
Data Exfiltration: No (publicly reported)
Personally Identifiable Information: No
Incident : Cyberattack JAG2592025111525
Incident : cyberattack JAG1593115111725
Type of Data Compromised: Potential customer data (under investigation)
Sensitivity of Data: potentially high (if PII included)
Personally Identifiable Information: possible (assessment ongoing)
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Comprehensive Investigation (Stellantis), Phased Restart Plan (JLR), , Resuming production in phased manner, Clearing supplier invoice backlog, Accelerating parts distribution, , Collaboration with cybersecurity experts, Phased restart of operations, , Patching SAP Netweaver vulnerability, Credential rotation, Network segmentation reviews, , System Wipe/Clean/Recovery from Backups, Password Resets, Firewall Rule Corrections, Patch Deployment, , IT rebuild, recovery efforts, , Upfront payments to suppliers to stabilize cashflow, Gradual production restart (October 2025), , Limited: Only 38% addressed root causes of initial attacks, , Phased reopening of Solihull, Wolverhampton, Halewood plants, , Gamified Training ('Cards Against Cyber Crime'), Contextual Scenario-Based Learning, Collaborative Risk Discussions, , Employee Education, AI Governance Frameworks, Transparency Initiatives, Audit Tools for Unauthorized AI, , Resuming manufacturing after ~4 weeks, , Restoration of IT services, Recovery operations, , phased restart of manufacturing (late September 2025), cybersecurity bolstering, .
How does the company handle incidents involving personally identifiable information (PII) ?
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by suspension of certain it services, prompt action to contain (stellantis), production pause (jlr), , complete shutdown of manufacturing operations, isolation of affected systems, , government intervention (e.g., jlr), shutdown of affected systems, , systems taken offline immediately, isolation of affected networks, backup restoration, , proactive it system shutdown, disconnection of affected networks, , system shutdowns across all sites, isolation of affected networks, , budget increases (51% of organizations), enhanced detection/monitoring (47%), , it system shutdown, global manufacturing halt, , ai discovery tools, advanced monitoring, policy enforcement, , shutdown of production plants, isolation of affected systems (implied), , immediate it system shutdown, facility closures, staff sent home, , system shutdown, phased restart and .
Ransomware Information
Was ransomware involved in any of the incidents ?
Incident : Ransomware TAT702030425
Data Exfiltration: True
Incident : Data Breach JAG2932329092525
Data Exfiltration: ['Yes (Salesforce Breach)']
Incident : ransomware JAG3762537093025
Ransom Paid: entity: 80% of ransomware-hit SMEs (per Hiscox), percentage: 80%entity: Marks and Spencer, status: widely believed to have paid
Data Encryption: [{'entity': 'Jaguar Land Rover', 'status': 'confirmed (factory shutdown)'}, {'entity': 'Marks and Spencer', 'status': 'confirmed'}]
Data Exfiltration: [{'entity': 'Nursery chain', 'status': 'threatened'}, {'entity': 'Unspecified businesses', 'status': 'confirmed (per Hiscox report on stolen sensitive data)'}]
Incident : cyber attack JAG3192031100625
Ransomware Strain: RaaS (rented by teenage hackers)
Data Encryption: Likely (e.g., JLR shutdown suggests encryption)
Data Exfiltration: Likely (e.g., nursery chain blackmail)
Incident : Cyberattack JAG0132901100725
Ransom Paid: No (no confirmation of payment; UK government banned ransom payments for critical infrastructure)
Data Exfiltration: Yes (claimed by threat actors)
Incident : Ransomware JAG2602026102425
Ransom Paid: Yes (by 83% of victims who complied, but 93% had data stolen regardless)
Data Encryption: True
Data Exfiltration: True
Incident : Unauthorized AI Deployment TAT2032920103125
Ransomware Strain: Qilin (Mentioned in Context of Exploiting Weak Points)
Incident : Cyberattack JAG4432644111125
Data Encryption: Suspected (based on operational disruption)
Incident : Cyberattack JAG2592025111525
Data Exfiltration: True
Incident : Cyberattack JAG2492124111725
Ransomware Strain: LockBit (suspected)
How does the company recover data encrypted by ransomware ?
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through Customer Notifications (Stellantis), Supply Chain Recovery (JLR), , UK government loan guarantee (£2 billion), Commercial bank financing (5-year repayment), Gradual system restoration, , Controlled, phased restart of production, Government-backed £1.5bn loan guarantee for supply chain stability, , JLR: government-backed financial support for supply chain, M&S: insurance claims for £300M loss, , Phased restart of manufacturing (began September 25, 2024), Supply chain coordination, Government-backed financial support, , Controlled Restart of Global Applications, Infrastructure Restoration, Cyber Protection Updates, , Government-backed £1.5 billion loan guarantee for liquidity, , Targeted full production resumption by January 2026, , Backup Restoration Attempts (40% failed to recover all data), , Expected full recovery by January 2026, , Government financial intervention, Gradual restart of production, , Phased Restart of Production (completed by October 8, 2025), Restoration of Wholesale, Parts Logistics, and Supplier Financing, , Systems back online, , operational restoration efforts, supply chain stabilization, , Financing solution for suppliers, Calibrated operational resumption, .
Regulatory Compliance
Were there any regulatory violations and fines imposed for each incident ?
Incident : Data Breach JAG2932329092525
Regulatory Notifications: Appropriate Authorities Notified (Stellantis)
Incident : Cyber Attack JAG1232212092925
Regulatory Notifications: Likely notifications to UK regulatory bodies (e.g., ICO if data breach confirmed)
Incident : ransomware JAG3762537093025
Regulations Violated: UK GDPR, Data Protection Act 2018,
Fines Imposed: [{'entity': 'Unspecified SMEs', 'description': 'substantial fines for data protection failures (per Hiscox report)'}]
Incident : Cyberattack JAG0132901100725
Regulatory Notifications: UK National Cyber Security Centre (NCSC) involvedPotential GDPR implications if customer data breached (unconfirmed)
Incident : Cyberattack JAG2102021100825
Regulations Violated: Potential GDPR Non-Compliance,
Incident : Data Breach JAG2932829102425
Regulatory Notifications: Mandatory Training Requirements (Criticized as Insufficient)
Incident : Unauthorized AI Deployment TAT2032920103125
Regulations Violated: Potential Violations of AI Ethics Laws, Data Protection Regulations (e.g., GDPR, CCPA), Industry-Specific Compliance Standards,
Regulatory Notifications: NAIC Guidance on Responsible AI (October 2025)
Incident : Cyberattack JAG0132201110725
Regulatory Notifications: Bank of England (economic impact disclosure)Office for Budget Responsibility (OBR) assessment
Incident : cyberattack JAG1593115111725
Regulations Violated: potential GDPR (if EU customer data affected), other global privacy laws (under assessment),
Regulatory Notifications: disclosure to regulators (November 14, 2025)
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : Cyber Attack JAG1232212092925
Lessons Learned: Highlighted vulnerabilities in just-in-time manufacturing models reliant on digital systems, Government intervention underscored the systemic risk of cyber attacks on critical industries, Emphasized the need for robust cybersecurity measures across supply chains
Incident : ransomware JAG3762537093025
Lessons Learned: Cyberattacks can threaten business survival, especially for SMEs without financial safety nets., Ransom payments do not guarantee data recovery (only 60% success rate per Hiscox)., Cybercriminals increasingly target business-sensitive data (e.g., contracts, IP) over personal data for higher extortion leverage., AI vulnerabilities are a growing attack vector, exposing gaps in data loss prevention., Cyber insurance is critical but often underutilized or inadequately scoped (e.g., JLR's £5M premium for £300–500M coverage)., Government intervention (e.g., JLR's loan guarantee) may be required for systemic risks like supply chain disruptions.
Incident : cyber attack JAG3192031100625
Lessons Learned: Outdated cybersecurity protocols and lack of incident response plans make institutions vulnerable. Teenage hackers leveraging RaaS pose a growing threat, motivated by both financial gain and notoriety. Supply chain disruptions amplify economic impact beyond direct victims. Government surveys and awareness campaigns are critical for improving security posture.
Incident : Cyberattack JAG0132901100725
Lessons Learned: Legacy IT infrastructure (from Ford era) created vulnerabilities; incremental upgrades insufficient., Third-party risk management critical (TCS’s role in cybersecurity questioned)., Early warnings (e.g., Deep Specter Research’s June alert) must be acted upon., Supply chain resilience requires proactive coordination with SME suppliers., Government bailouts for cyber incidents may create moral hazard, reducing private-sector cybersecurity incentives.
Incident : Cyberattack JAG2102021100825
Lessons Learned: Interconnected 'just-in-time' logistics amplify cyberattack impacts., Third-party supplier vulnerabilities pose significant risks., Proactive system shutdowns can limit breach scope but prolong recovery., Asymmetric cyber warfare requires resilience-focused strategies (assumed breach mindset)., Identity-based attacks and social engineering are critical vectors., Budget allocations for integrated IT/OT/IoT monitoring and rapid detection are essential.
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Lessons Learned: Operational disruption poses the biggest cyber risk for most businesses., Organizations must strengthen IT/OT resilience and map supply chain dependencies., Assess insurance needs based on supply chain risks., Government should define thresholds for financial support in critical economic sectors to avoid setting unrealistic expectations for future interventions.
Incident : Cyber Attack JAG4132041102325
Lessons Learned: Critical need for cyber insurance coverage, Supply chain resilience planning for systemic disruptions, Government intervention as a backstop for national economic risks
Incident : Ransomware JAG2602026102425
Lessons Learned: AI-powered attacks collapse defender response windows, requiring real-time detection/response., Traditional defenses (e.g., signature-based detection) are obsolete against AI-enhanced threats., Paying ransoms does not guarantee data recovery (93% of payers still lost data)., Backup reliability is overestimated (40% failed to restore all data)., Post-incident responses lack strategic focus (only 38% addressed root causes).
Incident : Cyber-Attack JAG0032200102425
Lessons Learned: Supply chain resilience is critical for automotive sector stability, Cyber incidents can have cascading economic impacts beyond the targeted entity, Tax incentives (e.g., Employee Car Ownership Schemes) are vital for industry competitiveness post-incident
Incident : Data Breach JAG2932829102425
Lessons Learned: Compliance-driven training is insufficient; behavioral change is critical., Human-centric cybersecurity culture must address abstract threat perceptions., Gamified, contextually relevant training improves engagement and resilience., Collaborative learning (e.g., group discussions, scenario-based games) enhances threat detection., Retail sector's high turnover and seasonal staff increase vulnerability., Brand reputation is directly tied to cybersecurity posture and employee awareness.
Incident : Unauthorized AI Deployment TAT2032920103125
Lessons Learned: Shadow AI poses significant risks akin to shadow IT but with higher stakes due to AI's data-hungry nature., Unauthorized AI tools create blind spots in governance, leading to data leaks, compliance violations, and reputational damage., Enterprises lack comprehensive frameworks to detect and mitigate shadow AI risks., Employee education and transparency are critical to addressing insider threats from unauthorized AI usage., Proactive detection (e.g., AI discovery tools) and policy enforcement are essential for governance.
Incident : Cyberattack JAG0132201110725
Lessons Learned: First cyberattack in UK history to cause material economic/fiscal harm at national level., Supply chain vulnerabilities can amplify systemic risks beyond the primary target., Government intervention may be required for cyber incidents with macroeconomic consequences., Urgent need for businesses to prioritize cybersecurity as a matter of national resilience (per NCSC warnings).
Incident : Cyberattack JAG2492124111725
Lessons Learned: Cyberattacks can have devastating financial and operational impacts beyond technical remediation., Third-party supply chain vulnerabilities pose significant risks., Manufacturers in high-value, just-in-time production environments are prime targets for ransomware., Incident response preparedness and third-party risk management are critical.
Incident : cyberattack JAG1593115111725
Lessons Learned: Vulnerabilities in interconnected smart factory systems require robust isolation capabilities., Outsourced cybersecurity introduces significant risks without proper oversight., Supply chain dependencies amplify the impact of cyber incidents., Proactive regulatory disclosure can mitigate reputational damage., Board-level governance must prioritize cyber risk management.
Incident : Cyberattack JAG0092700111825
Lessons Learned: Need for better third-party risk monitoring in supply chains (per Moody’s report), Importance of limiting information sharing with suppliers, Ranking suppliers by cyber risk exposure
What recommendations were made to prevent future incidents ?
Incident : Cyber Attack JAG1232212092925
Recommendations: Strengthen cybersecurity protocols for manufacturing and supply chain systems, Implement redundant systems to mitigate single points of failure, Enhance employee training on cyber threat awareness, Develop contingency plans for prolonged operational disruptions, Foster closer collaboration between private sector and government cybersecurity agenciesStrengthen cybersecurity protocols for manufacturing and supply chain systems, Implement redundant systems to mitigate single points of failure, Enhance employee training on cyber threat awareness, Develop contingency plans for prolonged operational disruptions, Foster closer collaboration between private sector and government cybersecurity agenciesStrengthen cybersecurity protocols for manufacturing and supply chain systems, Implement redundant systems to mitigate single points of failure, Enhance employee training on cyber threat awareness, Develop contingency plans for prolonged operational disruptions, Foster closer collaboration between private sector and government cybersecurity agenciesStrengthen cybersecurity protocols for manufacturing and supply chain systems, Implement redundant systems to mitigate single points of failure, Enhance employee training on cyber threat awareness, Develop contingency plans for prolonged operational disruptions, Foster closer collaboration between private sector and government cybersecurity agenciesStrengthen cybersecurity protocols for manufacturing and supply chain systems, Implement redundant systems to mitigate single points of failure, Enhance employee training on cyber threat awareness, Develop contingency plans for prolonged operational disruptions, Foster closer collaboration between private sector and government cybersecurity agencies
Incident : ransomware JAG3762537093025
Recommendations: Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.Invest in robust data loss prevention controls to protect sensitive business data., Regularly update incident response plans to account for ransomware and extortion tactics., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Prioritize patching AI systems and supply chain vulnerabilities., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Enhance employee training on phishing and social engineering, given the human factor in breaches.
Incident : cyber attack JAG3192031100625
Recommendations: Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.Implement and regularly update cybersecurity protocols and incident response plans., Enhance monitoring for RaaS activity, especially among domestic threat actors., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Educate employees and students on cyber hygiene and social engineering risks.
Incident : Cyberattack JAG0132901100725
Recommendations: Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Implement automated threat detection for credential theft (e.g., infostealer malware)., Develop supply chain contingency plans for prolonged downtime., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Improve transparency in customer communications during incidents.
Incident : Cyberattack JAG2102021100825
Recommendations: Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Enhance supply chain cybersecurity assessments and third-party risk management., Invest in unified alerting systems for IT, OT, and IoT devices., Implement robust backup and recovery protocols for interconnected systems., Prioritize security awareness training (though acknowledge human fallibility)., Conduct regular red team exercises to test incident response plans.
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Recommendations: Identify and protect critical networks., Plan for network disruption scenarios., Enhance supply chain risk assessments., Review cyber insurance coverage for operational disruption.Identify and protect critical networks., Plan for network disruption scenarios., Enhance supply chain risk assessments., Review cyber insurance coverage for operational disruption.Identify and protect critical networks., Plan for network disruption scenarios., Enhance supply chain risk assessments., Review cyber insurance coverage for operational disruption.Identify and protect critical networks., Plan for network disruption scenarios., Enhance supply chain risk assessments., Review cyber insurance coverage for operational disruption.
Incident : Cyber Attack JAG4132041102325
Recommendations: Finalize cyber insurance policies, Enhance supply chain cybersecurity protocols, Develop rapid-response financial support mechanisms for SME suppliers, Conduct third-party risk assessments for multi-tier suppliersFinalize cyber insurance policies, Enhance supply chain cybersecurity protocols, Develop rapid-response financial support mechanisms for SME suppliers, Conduct third-party risk assessments for multi-tier suppliersFinalize cyber insurance policies, Enhance supply chain cybersecurity protocols, Develop rapid-response financial support mechanisms for SME suppliers, Conduct third-party risk assessments for multi-tier suppliersFinalize cyber insurance policies, Enhance supply chain cybersecurity protocols, Develop rapid-response financial support mechanisms for SME suppliers, Conduct third-party risk assessments for multi-tier suppliers
Incident : Ransomware JAG2602026102425
Recommendations: Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).Adopt AI-driven defense platforms to counter AI-powered attacks., Prioritize root-cause analysis in incident response to prevent repeat attacks., Upgrade incident response plans with AI-specific playbooks., Implement immutable backups and test restoration processes regularly., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing).
Incident : Cyber-Attack JAG0032200102425
Recommendations: Bolster IT security for manufacturing systems, Implement rapid intervention programs for supply chain resilience (per SMMT), Retain tax breaks for Employee Car Ownership Schemes to support recovery, Prepare for post-shutdown demand surges (per Autotrader insights)Bolster IT security for manufacturing systems, Implement rapid intervention programs for supply chain resilience (per SMMT), Retain tax breaks for Employee Car Ownership Schemes to support recovery, Prepare for post-shutdown demand surges (per Autotrader insights)Bolster IT security for manufacturing systems, Implement rapid intervention programs for supply chain resilience (per SMMT), Retain tax breaks for Employee Car Ownership Schemes to support recovery, Prepare for post-shutdown demand surges (per Autotrader insights)Bolster IT security for manufacturing systems, Implement rapid intervention programs for supply chain resilience (per SMMT), Retain tax breaks for Employee Car Ownership Schemes to support recovery, Prepare for post-shutdown demand surges (per Autotrader insights)
Incident : Data Breach JAG2932829102425
Recommendations: Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement., Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks.
Incident : Unauthorized AI Deployment TAT2032920103125
Recommendations: Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.Implement **AI governance frameworks** to monitor and approve AI tool usage., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Foster a **culture of transparency** where employees report AI tool adoptions., Conduct **regular audits** of AI usage across departments to identify blind spots., Update **security policies** to explicitly address shadow AI risks and compliance requirements., Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Prioritize **vendor risk assessments** for third-party AI services to ensure data security.
Incident : Cyberattack JAG0132201110725
Recommendations: Implement robust supply chain cybersecurity protocols to mitigate systemic risks., Enhance collaboration between private sector and government for critical infrastructure protection., Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks., Review and stress-test incident response plans for scenarios with macroeconomic implications.Implement robust supply chain cybersecurity protocols to mitigate systemic risks., Enhance collaboration between private sector and government for critical infrastructure protection., Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks., Review and stress-test incident response plans for scenarios with macroeconomic implications.Implement robust supply chain cybersecurity protocols to mitigate systemic risks., Enhance collaboration between private sector and government for critical infrastructure protection., Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks., Review and stress-test incident response plans for scenarios with macroeconomic implications.Implement robust supply chain cybersecurity protocols to mitigate systemic risks., Enhance collaboration between private sector and government for critical infrastructure protection., Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks., Review and stress-test incident response plans for scenarios with macroeconomic implications.
Incident : Cyberattack JAG2492124111725
Recommendations: Improve incident response preparedness and rapid containment protocols., Enhance visibility of third-party IT infrastructure with rigorous auditing., Deploy continuous threat detection using EDR and XDR systems., Conduct ongoing user awareness training focusing on phishing and remote access risks., Prioritize cybersecurity resilience as a board-level operational risk.Improve incident response preparedness and rapid containment protocols., Enhance visibility of third-party IT infrastructure with rigorous auditing., Deploy continuous threat detection using EDR and XDR systems., Conduct ongoing user awareness training focusing on phishing and remote access risks., Prioritize cybersecurity resilience as a board-level operational risk.Improve incident response preparedness and rapid containment protocols., Enhance visibility of third-party IT infrastructure with rigorous auditing., Deploy continuous threat detection using EDR and XDR systems., Conduct ongoing user awareness training focusing on phishing and remote access risks., Prioritize cybersecurity resilience as a board-level operational risk.Improve incident response preparedness and rapid containment protocols., Enhance visibility of third-party IT infrastructure with rigorous auditing., Deploy continuous threat detection using EDR and XDR systems., Conduct ongoing user awareness training focusing on phishing and remote access risks., Prioritize cybersecurity resilience as a board-level operational risk.Improve incident response preparedness and rapid containment protocols., Enhance visibility of third-party IT infrastructure with rigorous auditing., Deploy continuous threat detection using EDR and XDR systems., Conduct ongoing user awareness training focusing on phishing and remote access risks., Prioritize cybersecurity resilience as a board-level operational risk.
Incident : cyberattack JAG1593115111725
Recommendations: Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.Invest in internal cybersecurity expertise to reduce third-party dependencies., Implement network segmentation to contain future breaches., Enhance monitoring for early threat detection in smart manufacturing environments., Develop comprehensive incident response plans for supply chain disruptions., Conduct regular audits of vendor cybersecurity practices., Strengthen compliance with global data protection regulations (e.g., GDPR)., Evaluate adaptive security measures like behavioral WAFs for connected systems.
Incident : Cyberattack JAG0092700111825
Recommendations: Enhance supply chain cybersecurity resilience, Implement stricter access controls and supplier vetting, Develop contingency plans for critical production periodsEnhance supply chain cybersecurity resilience, Implement stricter access controls and supplier vetting, Develop contingency plans for critical production periodsEnhance supply chain cybersecurity resilience, Implement stricter access controls and supplier vetting, Develop contingency plans for critical production periods
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are Highlighted vulnerabilities in just-in-time manufacturing models reliant on digital systems,Government intervention underscored the systemic risk of cyber attacks on critical industries,Emphasized the need for robust cybersecurity measures across supply chainsCyberattacks can threaten business survival, especially for SMEs without financial safety nets.,Ransom payments do not guarantee data recovery (only 60% success rate per Hiscox).,Cybercriminals increasingly target business-sensitive data (e.g., contracts, IP) over personal data for higher extortion leverage.,AI vulnerabilities are a growing attack vector, exposing gaps in data loss prevention.,Cyber insurance is critical but often underutilized or inadequately scoped (e.g., JLR's £5M premium for £300–500M coverage).,Government intervention (e.g., JLR's loan guarantee) may be required for systemic risks like supply chain disruptions.Outdated cybersecurity protocols and lack of incident response plans make institutions vulnerable. Teenage hackers leveraging RaaS pose a growing threat, motivated by both financial gain and notoriety. Supply chain disruptions amplify economic impact beyond direct victims. Government surveys and awareness campaigns are critical for improving security posture.Legacy IT infrastructure (from Ford era) created vulnerabilities; incremental upgrades insufficient.,Third-party risk management critical (TCS’s role in cybersecurity questioned).,Early warnings (e.g., Deep Specter Research’s June alert) must be acted upon.,Supply chain resilience requires proactive coordination with SME suppliers.,Government bailouts for cyber incidents may create moral hazard, reducing private-sector cybersecurity incentives.Interconnected 'just-in-time' logistics amplify cyberattack impacts.,Third-party supplier vulnerabilities pose significant risks.,Proactive system shutdowns can limit breach scope but prolong recovery.,Asymmetric cyber warfare requires resilience-focused strategies (assumed breach mindset).,Identity-based attacks and social engineering are critical vectors.,Budget allocations for integrated IT/OT/IoT monitoring and rapid detection are essential.Operational disruption poses the biggest cyber risk for most businesses.,Organizations must strengthen IT/OT resilience and map supply chain dependencies.,Assess insurance needs based on supply chain risks.,Government should define thresholds for financial support in critical economic sectors to avoid setting unrealistic expectations for future interventions.Critical need for cyber insurance coverage,Supply chain resilience planning for systemic disruptions,Government intervention as a backstop for national economic risksAI-powered attacks collapse defender response windows, requiring real-time detection/response.,Traditional defenses (e.g., signature-based detection) are obsolete against AI-enhanced threats.,Paying ransoms does not guarantee data recovery (93% of payers still lost data).,Backup reliability is overestimated (40% failed to restore all data).,Post-incident responses lack strategic focus (only 38% addressed root causes).Supply chain resilience is critical for automotive sector stability,Cyber incidents can have cascading economic impacts beyond the targeted entity,Tax incentives (e.g., Employee Car Ownership Schemes) are vital for industry competitiveness post-incidentCompliance-driven training is insufficient; behavioral change is critical.,Human-centric cybersecurity culture must address abstract threat perceptions.,Gamified, contextually relevant training improves engagement and resilience.,Collaborative learning (e.g., group discussions, scenario-based games) enhances threat detection.,Retail sector's high turnover and seasonal staff increase vulnerability.,Brand reputation is directly tied to cybersecurity posture and employee awareness.Shadow AI poses significant risks akin to shadow IT but with higher stakes due to AI's data-hungry nature.,Unauthorized AI tools create blind spots in governance, leading to data leaks, compliance violations, and reputational damage.,Enterprises lack comprehensive frameworks to detect and mitigate shadow AI risks.,Employee education and transparency are critical to addressing insider threats from unauthorized AI usage.,Proactive detection (e.g., AI discovery tools) and policy enforcement are essential for governance.First cyberattack in UK history to cause material economic/fiscal harm at national level.,Supply chain vulnerabilities can amplify systemic risks beyond the primary target.,Government intervention may be required for cyber incidents with macroeconomic consequences.,Urgent need for businesses to prioritize cybersecurity as a matter of national resilience (per NCSC warnings).Cyberattacks can have devastating financial and operational impacts beyond technical remediation.,Third-party supply chain vulnerabilities pose significant risks.,Manufacturers in high-value, just-in-time production environments are prime targets for ransomware.,Incident response preparedness and third-party risk management are critical.Vulnerabilities in interconnected smart factory systems require robust isolation capabilities.,Outsourced cybersecurity introduces significant risks without proper oversight.,Supply chain dependencies amplify the impact of cyber incidents.,Proactive regulatory disclosure can mitigate reputational damage.,Board-level governance must prioritize cyber risk management.Need for better third-party risk monitoring in supply chains (per Moody’s report),Importance of limiting information sharing with suppliers,Ranking suppliers by cyber risk exposure.
What recommendations has the company implemented to improve cybersecurity ?
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Enhance employee training on phishing and social engineering, given the human factor in breaches., Implement immutable backups and test restoration processes regularly., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Implement automated threat detection for credential theft (e.g., infostealer malware)., Prioritize security awareness training (though acknowledge human fallibility)., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Upgrade incident response plans with AI-specific playbooks., Adopt AI-driven defense platforms to counter AI-powered attacks., Conduct regular red team exercises to test incident response plans., Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Prioritize root-cause analysis in incident response to prevent repeat attacks., Implement robust backup and recovery protocols for interconnected systems., Enhance supply chain cybersecurity assessments and third-party risk management., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Invest in robust data loss prevention controls to protect sensitive business data., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Develop supply chain contingency plans for prolonged downtime., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing)., Regularly update incident response plans to account for ransomware and extortion tactics., Improve transparency in customer communications during incidents., Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Prioritize patching AI systems and supply chain vulnerabilities., Invest in unified alerting systems for IT, OT and and IoT devices..
References
Where can I find more information about each incident ?
Incident : Data Breach JAG2932329092525
Source: Stellantis Press Release
Incident : Data Breach JAG2932329092525
Source: BleepingComputer - Salesforce Data Breach
Incident : Data Breach JAG2932329092525
Source: BleepingComputer - Farmers Insurance Breach
Incident : Data Breach JAG2932329092525
Source: FBI Flash Advisory
Incident : Data Breach JAG2932329092525
Source: Jaguar Land Rover Website Notification
Incident : Data Breach JAG2932329092525
Source: BBC - JLR Cyber Attack Coverage
Incident : Operational Disruption JAG5632056092925
Source: Bloomberg
Incident : Operational Disruption JAG5632056092925
Source: JLR Official Statement (Sept 25)
Incident : Operational Disruption JAG5632056092925
Source: UK Government Announcement (Loan Guarantee)
Incident : Cyber Attack JAG1232212092925
Source: The Independent
URL: https://www.independent.co.uk
Date Accessed: 2024-09-30
Incident : ransomware JAG3762537093025
Source: Sky News
URL: https://news.sky.com/story/cyber-attacks-80-of-ransomware-victims-pay-up-insurer-says-13023456
Date Accessed: 2025-02-01
Incident : ransomware JAG3762537093025
Source: Hiscox Cyber Readiness Report 2025
Date Accessed: 2025-02-01
Incident : ransomware JAG3762537093025
Source: IMARC Group (cyber insurance market data)
Date Accessed: 2025-02-01
Incident : cyber attack JAG3192031100625
Source: BBC
Incident : cyber attack JAG3192031100625
Source: UK Government Survey (2025)
Incident : cyber attack JAG3192031100625
Source: Royal United Services Institute (RUSI) - James MacColl
Incident : cyber attack JAG3192031100625
Source: Tom's Hardware
Incident : Cyberattack JAG0132901100725
Source: Deep Specter Research (Shaya Feedman)
Date Accessed: 2024-06-29 (email to JLR)
Incident : Cyberattack JAG0132901100725
Source: Black Country Chambers of Commerce Survey
Date Accessed: 2024-09
Incident : Cyberattack JAG0132901100725
Source: Royal United Services Institute (RUSI) - Jamie MacColl
Date Accessed: 2024-10
Incident : Cyberattack JAG2102021100825
Source: e2e-assure (Simon Chassar, Interim COO)
Incident : Cyberattack JAG2102021100825
Source: Modu (Justin Browne, CTO)
Incident : Cyberattack JAG2102021100825
Source: Cybanetix (Martin Jakobsen, CEO)
Incident : Cyberattack JAG2102021100825
Source: QUONtech (Michael Reichstein, CISO)
Incident : Cyberattack JAG2102021100825
Source: Cybersecurity Industry Observers (Unnamed)
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Source: Cyber Monitoring Centre (CMC)
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Source: ITPro (article)
Incident : Cyber Attack JAG4132041102325
Source: Cyber Monitoring Centre (CMC)
Incident : Cyber Attack JAG4132041102325
Source: The Insurer (trade publication)
Incident : Ransomware JAG2602026102425
Source: CrowdStrike 2024 State of Ransomware Survey
URL: https://www.crowdstrike.com/resources/reports/2024-global-threat-report/
Date Accessed: 2024-02-01
Incident : Ransomware JAG2602026102425
Source: Microsoft Threat Intelligence (2023 Cyber Incident Data)
Date Accessed: 2024-02-01
Incident : Cyber-Attack JAG0032200102425
Source: BBC News
Incident : Cyber-Attack JAG0032200102425
Source: Society of Motor Manufacturers and Traders (SMMT)
Incident : Cyber-Attack JAG0032200102425
Source: Cyber Monitoring Centre (CMC)
Incident : Cyber-Attack JAG0032200102425
Source: Autotrader
Incident : Data Breach JAG2932829102425
Source: Cyber Monitoring Center (CMC)
Incident : Data Breach JAG2932829102425
Source: Loughborough University (Prof. Oli Buckley)
Date Accessed: 2025-06
Incident : Data Breach JAG2932829102425
Source: Case Study: 'Cards Against Cyber Crime' Program
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Undercode News (X)
Date Accessed: 2025-10-28
Incident : Unauthorized AI Deployment TAT2032920103125
Source: IBM Topic Overview
Incident : Unauthorized AI Deployment TAT2032920103125
Source: The Hacker News
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Invicti 2025 Blog
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Skywork.ai
Incident : Unauthorized AI Deployment TAT2032920103125
Source: TechTarget
Incident : Unauthorized AI Deployment TAT2032920103125
Source: WitnessAI Blog
Incident : Unauthorized AI Deployment TAT2032920103125
Source: ISACA Industry News
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Forbes Council Post
Date Accessed: 2025-10-24
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Techwire Asia
Date Accessed: 2025-10-25
Incident : Unauthorized AI Deployment TAT2032920103125
Source: The New Stack
Incident : Unauthorized AI Deployment TAT2032920103125
Source: WebProNews
Incident : Unauthorized AI Deployment TAT2032920103125
Source: News Hub (Australian Businesses)
Date Accessed: 2025-10-23
Incident : Unauthorized AI Deployment TAT2032920103125
Source: News Hub (NAIC Guidance)
Date Accessed: 2025-10-25
Incident : Unauthorized AI Deployment TAT2032920103125
Source: Aithority
Incident : Cyberattack JAG0132201110725
Source: Bank of England (BoE) Rates Decision Announcement
Date Accessed: 2023-10-05
Incident : Cyberattack JAG0132201110725
Source: Office for Budget Responsibility (OBR) Report (2021)
Date Accessed: 2023-10-05
Incident : Cyberattack JAG0132201110725
Source: Cyber Monitoring Centre (CMC) Category 3 Systemic Event Classification
Date Accessed: 2023-10-28
Incident : Cyberattack JAG0132201110725
Source: University of Birmingham (David Bailey, Professor of Business Economics)
Date Accessed: 2023-10-05
Incident : Cyberattack JAG0132201110725
Source: National Cyber Security Centre (NCSC) Annual Review
Date Accessed: 2023-09-01
Incident : Cyberattack JAG4432644111125
Source: Bank of England Quarterly Monetary Policy Report
Date Accessed: 2024-10-03
Incident : Cyberattack JAG4432644111125
Source: NBC News - Interview with Ciaran Martin (Cyber Monitoring Centre)
Date Accessed: 2024-10-03
Incident : Cyberattack JAG4432644111125
Source: Cyber Monitoring Centre Report on Jaguar Land Rover Hack
Date Accessed: 2024-09-XX
Incident : Cyberattack JAG4432644111125
Source: BBC - Hacker Group Claim (Telegram, now deleted)
Date Accessed: 2024-09-XX
Incident : Cyberattack JAG2592025111525
Source: Jaguar Land Rover Financial Results (Q3 2025)
Incident : Cyberattack JAG2592025111525
Source: Bank of England Monetary Policy Report (Q3 2025)
Incident : Cyberattack JAG2592025111525
Source: JLR Public Statements (September 2025)
Incident : Cyberattack (Production Disruption) TAT0662106111725
Source: Asia In Brief (The Register)
Incident : Cyberattack JAG2492124111725
Source: Jaguar Land Rover Quarterly Financial Report (Q3 2023)
Incident : Cyberattack JAG2492124111725
Source: Media reports on LockBit ransomware attacks targeting Tata Group
Incident : cyberattack JAG1593115111725
Source: Business Standard
Incident : cyberattack JAG1593115111725
Source: BBC
Incident : cyberattack JAG1593115111725
Source: The Guardian
Incident : cyberattack JAG1593115111725
Source: Reuters
Incident : cyberattack JAG1593115111725
Source: Nikkei Asia
Incident : cyberattack JAG1593115111725
Source: Forbes
Incident : cyberattack JAG1593115111725
Source: Industrial Cyber
Incident : cyberattack JAG1593115111725
Source: WIRED
Incident : cyberattack JAG1593115111725
Source: BusinessToday
Incident : cyberattack JAG1593115111725
Source: Economic Times Auto
Incident : cyberattack JAG1593115111725
Source: ITNewsBreaking (X posts)
Incident : cyberattack JAG1593115111725
Source: Global Tech Updates (X posts)
Incident : Cyberattack JAG0092700111825
Source: Jaguar Land Rover Q2 Earnings Call (2023-10-27)
Incident : Cyberattack JAG0092700111825
Source: Cyber Monitoring Center Report
Incident : Cyberattack JAG0092700111825
Source: Moody’s Report on European Supply Chain Risks (2023-10-30)
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Stellantis Press Release, and Source: BleepingComputer - Salesforce Data Breach, and Source: BleepingComputer - Farmers Insurance Breach, and Source: FBI Flash Advisory, and Source: Jaguar Land Rover Website Notification, and Source: BBC - JLR Cyber Attack Coverage, and Source: Bloomberg, and Source: JLR Official Statement (Sept 25), and Source: UK Government Announcement (Loan Guarantee), and Source: The IndependentUrl: https://www.independent.co.ukDate Accessed: 2024-09-30, and Source: Sky NewsUrl: https://news.sky.com/story/cyber-attacks-80-of-ransomware-victims-pay-up-insurer-says-13023456Date Accessed: 2025-02-01, and Source: Hiscox Cyber Readiness Report 2025Date Accessed: 2025-02-01, and Source: IMARC Group (cyber insurance market data)Date Accessed: 2025-02-01, and Source: BBC, and Source: UK Government Survey (2025), and Source: Royal United Services Institute (RUSI) - James MacColl, and Source: Tom's Hardware, and Source: Bloomberg NewsUrl: https://www.bloomberg.com/news/articles/2024-10-04/jaguar-land-rover-cyberattack-shows-uk-s-vulnerability-to-hackersDate Accessed: 2024-10-05, and Source: Deep Specter Research (Shaya Feedman)Date Accessed: 2024-06-29 (email to JLR), and Source: Black Country Chambers of Commerce SurveyDate Accessed: 2024-09, and Source: Royal United Services Institute (RUSI) - Jamie MacCollDate Accessed: 2024-10, and Source: e2e-assure (Simon Chassar, Interim COO), and Source: Modu (Justin Browne, CTO), and Source: Cybanetix (Martin Jakobsen, CEO), and Source: QUONtech (Michael Reichstein, CISO), and Source: Cybersecurity Industry Observers (Unnamed), and Source: Cyber Monitoring Centre (CMC), and Source: ITPro (article), and Source: Cyber Monitoring Centre (CMC), and Source: The Insurer (trade publication), and Source: CrowdStrike 2024 State of Ransomware SurveyUrl: https://www.crowdstrike.com/resources/reports/2024-global-threat-report/Date Accessed: 2024-02-01, and Source: Microsoft Threat Intelligence (2023 Cyber Incident Data)Date Accessed: 2024-02-01, and Source: BBC News, and Source: Society of Motor Manufacturers and Traders (SMMT), and Source: Cyber Monitoring Centre (CMC), and Source: Autotrader, and Source: Cyber Monitoring Center (CMC), and Source: Loughborough University (Prof. Oli Buckley)Date Accessed: 2025-06, and Source: Case Study: 'Cards Against Cyber Crime' Program, and Source: Undercode News (X)Date Accessed: 2025-10-28, and Source: IBM Topic Overview, and Source: The Hacker News, and Source: Invicti 2025 Blog, and Source: Skywork.ai, and Source: TechTarget, and Source: WitnessAI Blog, and Source: ISACA Industry News, and Source: Forbes Council PostDate Accessed: 2025-10-24, and Source: Techwire AsiaDate Accessed: 2025-10-25, and Source: The New Stack, and Source: WebProNews, and Source: News Hub (Australian Businesses)Date Accessed: 2025-10-23, and Source: News Hub (NAIC Guidance)Date Accessed: 2025-10-25, and Source: Aithority, and Source: Bank of England (BoE) Rates Decision AnnouncementDate Accessed: 2023-10-05, and Source: Office for Budget Responsibility (OBR) Report (2021)Date Accessed: 2023-10-05, and Source: Cyber Monitoring Centre (CMC) Category 3 Systemic Event ClassificationDate Accessed: 2023-10-28, and Source: University of Birmingham (David Bailey, Professor of Business Economics)Date Accessed: 2023-10-05, and Source: National Cyber Security Centre (NCSC) Annual ReviewDate Accessed: 2023-09-01, and Source: Bank of England Quarterly Monetary Policy ReportDate Accessed: 2024-10-03, and Source: NBC News - Interview with Ciaran Martin (Cyber Monitoring Centre)Date Accessed: 2024-10-03, and Source: Cyber Monitoring Centre Report on Jaguar Land Rover HackDate Accessed: 2024-09-XX, and Source: BBC - Hacker Group Claim (Telegram, now deleted)Date Accessed: 2024-09-XX, and Source: Jaguar Land Rover Financial Results (Q3 2025), and Source: Bank of England Monetary Policy Report (Q3 2025), and Source: JLR Public Statements (September 2025), and Source: Asia In Brief (The Register), and Source: Jaguar Land Rover Quarterly Financial Report (Q3 2023), and Source: Media reports on LockBit ransomware attacks targeting Tata Group, and Source: Business Standard, and Source: BBC, and Source: The Guardian, and Source: Reuters, and Source: Nikkei Asia, and Source: Forbes, and Source: Industrial Cyber, and Source: WIRED, and Source: BusinessToday, and Source: Economic Times Auto, and Source: ITNewsBreaking (X posts), and Source: Global Tech Updates (X posts), and Source: Jaguar Land Rover Q2 Earnings Call (2023-10-27), and Source: Cyber Monitoring Center Report, and Source: Moody’s Report on European Supply Chain Risks (2023-10-30).
Investigation Status
What is the current status of the investigation for each incident ?
Incident : Data Breach JAG2932329092525
Investigation Status: ['Ongoing (Stellantis)', 'Ongoing (JLR)']
Incident : Operational Disruption JAG5632056092925
Investigation Status: Ongoing (partial recovery achieved)
Incident : Cyber Attack JAG1232212092925
Investigation Status: Ongoing (collaboration with NCSC and law enforcement)
Incident : ransomware JAG3762537093025
Investigation Status: [{'entity': 'Jaguar Land Rover', 'status': 'ongoing (as of February 2025)'}, {'entity': 'Marks and Spencer', 'status': 'likely completed (insurance claims in progress)'}, {'entity': 'Hiscox SME Survey', 'status': 'published (February 2025)'}]
Incident : cyber attack JAG3192031100625
Investigation Status: Ongoing (government survey and media reports; no detailed forensic analysis provided)
Incident : Cyberattack JAG0132901100725
Investigation Status: Ongoing (collaboration with NCSC and law enforcement; root cause analysis incomplete)
Incident : Cyberattack JAG2102021100825
Investigation Status: Ongoing (controlled restart phase, full recovery expected in weeks)
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Investigation Status: Ongoing (as of report)
Incident : Cyber Attack JAG4132041102325
Investigation Status: Ongoing (no official comment from JLR)
Incident : Ransomware JAG2602026102425
Investigation Status: Ongoing (industry-wide trend analysis)
Incident : Cyber-Attack JAG0032200102425
Investigation Status: Ongoing (recovery phase; full analysis pending)
Incident : Data Breach JAG2932829102425
Investigation Status: Ongoing Analysis (2025)
Incident : Unauthorized AI Deployment TAT2032920103125
Investigation Status: Ongoing (Industry-Wide Trend Analysis)
Incident : Cyberattack JAG0132201110725
Investigation Status: Ongoing (threat actor attribution unconfirmed; economic impact assessment complete)
Incident : Cyberattack JAG4432644111125
Investigation Status: Ongoing (specifics unclear as of 2024-10-03)
Incident : Cyberattack JAG2592025111525
Investigation Status: Resolved (Operations Stabilized)
Incident : Cyberattack JAG2492124111725
Investigation Status: Completed (recovery operations finalized)
Incident : cyberattack JAG1593115111725
Investigation Status: ongoing (data breach assessment and root cause analysis)
Incident : Cyberattack JAG0092700111825
Investigation Status: Ongoing (threat actor linked to prior attacks but not fully identified)
How does the company communicate the status of incident investigations to stakeholders ?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Press Release (Stellantis), Website Notification (Jlr), Public Statements (Sept 25, Monday Announcement), Media Updates Via Bloomberg, Public Statements On Progress, Updates To Employees, Retailers, And Suppliers, Government Briefings, Entity: Hiscox, Action: published Cyber Readiness Report (February 2025), Entity: UK government, Action: public statements on JLR loan guarantee, Government Survey To Raise Awareness, Media Reports (Bbc), Limited Public Statements, Internal Updates To Employees/Retailers/Suppliers, No Detailed Disclosure Of Ransom Demands, Limited Public Statements, No Official Comment As Of Report, Internal Awareness Campaigns, Brand Trust Reinforcement, Stakeholder Advisories, Employee Training Programs, Public Acknowledgment On 2024-09-02, No Further Details Provided, Public Disclosure (September 2, 2025), Follow-Up Statements On Data Theft And Government Intervention, Financial Results Publication (Q3 2025), Public disclosure in quarterly results; CFO statement acknowledging impact, Regulatory Disclosures (November 14, 2025), Public Statements By Group Cfo Pb Balaji, Earnings Call Disclosure (2023-10-27) and Public Statements.
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : Data Breach JAG2932329092525
Stakeholder Advisories: Jlr Suppliers Impacted, Uk Government Supply Chain Review.
Customer Advisories: Direct Notifications to Affected Customers (Stellantis)
Incident : Operational Disruption JAG5632056092925
Stakeholder Advisories: Uk Export Finance, Commercial Bank (Loan Provider), Tata Group, Jlr Employees/Unions, Supply Chain Partners.
Incident : Cyber Attack JAG1232212092925
Stakeholder Advisories: Updates Provided To Employees, Retailers, And Suppliers On Phased Restart, Government Briefings On Financial Support And Systemic Risk Mitigation.
Incident : ransomware JAG3762537093025
Stakeholder Advisories: Uk Government: Financial Support For Systemic Risks (E.G., Jlr Supply Chain)., Hiscox: Urged Businesses To Invest In Cyber Protections, Highlighting Reputational And Financial Risks., Assured (Cyber Insurance Broker): Advised On Aligning Policy Coverage With True Financial Risk..
Customer Advisories: Entity: Nursery chain, Action: Likely notified families about potential data exposure (details unspecified)., Entity: Marks and Spencer/Co-op, Action: No public customer advisories mentioned (as of report)..
Incident : cyber attack JAG3192031100625
Stakeholder Advisories: Government Encourages Adoption Of Cybersecurity Best Practices Via Survey Findings.
Incident : Cyberattack JAG0132901100725
Stakeholder Advisories: Uk Government Guaranteed £1.5 Billion Emergency Loan To Stabilize Supply Chain., Automotive Industry Analysts (E.G., Charles Tennant) Warned Of Long-Term Production Gaps., Unite Union (Norman Cunningham) Highlighted Worker Hardships From Layoffs/Short-Time Schedules..
Customer Advisories: Limited updates to affected customers (e.g., Navarro Jordan’s delayed Land Rover Defender).Dealers lacked information to provide timely responses.No public compensation or remediation offers announced.
Incident : Cyber Attack JAG4132041102325
Stakeholder Advisories: Uk Government Loan Guarantee (£1.5Bn), Tata Group Financial Support.
Incident : Cyber-Attack JAG0032200102425
Stakeholder Advisories: Smmt Calls For Government Support To Restore Competitiveness, Jlr Implementing Phased Production Restart.
Customer Advisories: Potential delivery delays for JLR vehicles (e.g., Range Rover Sport, Jaguar I-Pace)
Incident : Data Breach JAG2932829102425
Stakeholder Advisories: Shift Focus From Compliance To Resilience, Invest In Human-Centric Cybersecurity Culture.
Customer Advisories: Reinforce brand trust through transparent communication about cybersecurity measures
Incident : Unauthorized AI Deployment TAT2032920103125
Stakeholder Advisories: Cisos And It Leaders Urged To Implement Ai Governance Frameworks., Enterprises Advised To Audit Unauthorized Ai Innovations., Regulatory Bodies (E.G., Naic) Issuing Guidance On Responsible Ai Practices..
Customer Advisories: Customers of affected enterprises (e.g., Tata Motors) may face heightened risks of data exposure.General public advised to monitor corporate disclosures about shadow AI-related breaches.
Incident : Cyberattack JAG0132201110725
Stakeholder Advisories: Bank Of England: Cited Cyberattack As Factor In Gdp Growth Revision., Uk Government: Provided Financial Support To Jlr Due To Systemic Risk., Ncsc: Warned Of 50% Increase In Nationally Significant Cyberattacks (204 In 2023 Vs. 89 In 2022)..
Incident : Cyberattack JAG4432644111125
Customer Advisories: Public acknowledgment of disruption (2024-09-02)
Incident : Cyberattack JAG2592025111525
Stakeholder Advisories: Uk Government Loan Guarantee (£1.5 Billion), Bank Of England Gdp Impact Assessment.
Incident : cyberattack JAG1593115111725
Stakeholder Advisories: Regulatory Disclosures, Public Statements On Recovery Progress.
Customer Advisories: potential data exposure notifications (pending investigation results)
Incident : Cyberattack JAG0092700111825
Stakeholder Advisories: Uk Government Loan Package For Suppliers, Moody’S Risk Assessment For European Manufacturers.
What advisories does the company provide to stakeholders and customers following an incident ?
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Jlr Suppliers Impacted, Uk Government Supply Chain Review, Direct Notifications To Affected Customers (Stellantis), , Uk Export Finance, Commercial Bank (Loan Provider), Tata Group, Jlr Employees/Unions, Supply Chain Partners, Updates Provided To Employees, Retailers, And Suppliers On Phased Restart, Government Briefings On Financial Support And Systemic Risk Mitigation, Uk Government: Financial Support For Systemic Risks (E.G., Jlr Supply Chain)., Hiscox: Urged Businesses To Invest In Cyber Protections, Highlighting Reputational And Financial Risks., Assured (Cyber Insurance Broker): Advised On Aligning Policy Coverage With True Financial Risk., Entity: Nursery chain, Action: Likely notified families about potential data exposure (details unspecified)., Entity: Marks and Spencer/Co-op, Action: No public customer advisories mentioned (as of report)., , Government Encourages Adoption Of Cybersecurity Best Practices Via Survey Findings, Uk Government Guaranteed £1.5 Billion Emergency Loan To Stabilize Supply Chain., Automotive Industry Analysts (E.G., Charles Tennant) Warned Of Long-Term Production Gaps., Unite Union (Norman Cunningham) Highlighted Worker Hardships From Layoffs/Short-Time Schedules., Limited Updates To Affected Customers (E.G., Navarro Jordan’S Delayed Land Rover Defender)., Dealers Lacked Information To Provide Timely Responses., No Public Compensation Or Remediation Offers Announced., , Uk Government Loan Guarantee (£1.5Bn), Tata Group Financial Support, Smmt Calls For Government Support To Restore Competitiveness, Jlr Implementing Phased Production Restart, Potential Delivery Delays For Jlr Vehicles (E.G., Range Rover Sport, Jaguar I-Pace), , Shift Focus From Compliance To Resilience, Invest In Human-Centric Cybersecurity Culture, Reinforce Brand Trust Through Transparent Communication About Cybersecurity Measures, , Cisos And It Leaders Urged To Implement Ai Governance Frameworks., Enterprises Advised To Audit Unauthorized Ai Innovations., Regulatory Bodies (E.G., Naic) Issuing Guidance On Responsible Ai Practices., Customers Of Affected Enterprises (E.G., Tata Motors) May Face Heightened Risks Of Data Exposure., General Public Advised To Monitor Corporate Disclosures About Shadow Ai-Related Breaches., , Bank Of England: Cited Cyberattack As Factor In Gdp Growth Revision., Uk Government: Provided Financial Support To Jlr Due To Systemic Risk., Ncsc: Warned Of 50% Increase In Nationally Significant Cyberattacks (204 In 2023 Vs. 89 In 2022)., Public Acknowledgment Of Disruption (2024-09-02), , Uk Government Loan Guarantee (£1.5 Billion), Bank Of England Gdp Impact Assessment, Regulatory Disclosures, Public Statements On Recovery Progress, Potential Data Exposure Notifications (Pending Investigation Results), , Uk Government Loan Package For Suppliers and Moody’S Risk Assessment For European Manufacturers.
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Data Breach JAG2932329092525
Entry Point: Compromised Oauth Tokens (Salesforce), Voice Phishing (Call Center Social Engineering),
High Value Targets: Salesforce Customer Data, Jlr Production Systems,
Data Sold on Dark Web: Salesforce Customer Data, Jlr Production Systems,
Incident : Operational Disruption JAG5632056092925
High Value Targets: Production Systems, Financial/Supply Chain Systems,
Data Sold on Dark Web: Production Systems, Financial/Supply Chain Systems,
Incident : Cyber Attack JAG1232212092925
High Value Targets: Manufacturing Systems, Supply Chain Logistics,
Data Sold on Dark Web: Manufacturing Systems, Supply Chain Logistics,
Incident : ransomware JAG3762537093025
High Value Targets: Business-Sensitive Data (Contracts, Ip), Supply Chain Nodes (Jlr Case),
Data Sold on Dark Web: Business-Sensitive Data (Contracts, Ip), Supply Chain Nodes (Jlr Case),
Incident : cyber attack JAG3192031100625
High Value Targets: Jlr, Nursery Chain, Universities,
Data Sold on Dark Web: Jlr, Nursery Chain, Universities,
Incident : Cyberattack JAG0132901100725
Entry Point: Exploited Sap Netweaver Vulnerability, Stolen Credentials (Via Infostealer Malware In March 2024 Hellcat Attack),
Reconnaissance Period: Months (evidence of targeting since at least June 2024; linked to earlier March 2024 intrusion)
High Value Targets: Manufacturing Systems, Vehicle Design Documentation, Supply Chain Logistics Data,
Data Sold on Dark Web: Manufacturing Systems, Vehicle Design Documentation, Supply Chain Logistics Data,
Incident : Cyberattack JAG2102021100825
Entry Point: Potential Third-Party Supplier, Exploited Cve-2015-2291 Vulnerability,
High Value Targets: Manufacturing Systems, Global It Infrastructure, Supply Chain Networks,
Data Sold on Dark Web: Manufacturing Systems, Global It Infrastructure, Supply Chain Networks,
Incident : Ransomware JAG2602026102425
High Value Targets: Corporate Data, Customer Databases, Intellectual Property,
Data Sold on Dark Web: Corporate Data, Customer Databases, Intellectual Property,
Incident : Cyber-Attack JAG0032200102425
High Value Targets: It Systems, Manufacturing Operations,
Data Sold on Dark Web: It Systems, Manufacturing Operations,
Incident : Data Breach JAG2932829102425
Entry Point: Phishing Emails, Spoofed Messages (Whatsapp, Supplier Impersonation),
High Value Targets: Customer Databases, Payment Systems, Loyalty Programs,
Data Sold on Dark Web: Customer Databases, Payment Systems, Loyalty Programs,
Incident : Unauthorized AI Deployment TAT2032920103125
Entry Point: Employee-Deployed Ai Tools, No-Code Ai Agents, Third-Party Ai Service Integrations,
High Value Targets: Sensitive Corporate Data, Intellectual Property, Customer Databases,
Data Sold on Dark Web: Sensitive Corporate Data, Intellectual Property, Customer Databases,
Incident : Cyberattack JAG0132201110725
High Value Targets: Production Systems, Supply Chain Networks,
Data Sold on Dark Web: Production Systems, Supply Chain Networks,
Incident : Cyberattack JAG4432644111125
High Value Targets: Industrial Production Systems, Dealer Networks,
Data Sold on Dark Web: Industrial Production Systems, Dealer Networks,
Incident : Cyberattack JAG2592025111525
High Value Targets: Production Systems, Supply Chain Data,
Data Sold on Dark Web: Production Systems, Supply Chain Data,
Incident : Cyberattack JAG2492124111725
Entry Point: Third-party supplier (Tata Consultancy Services)
Incident : cyberattack JAG1593115111725
High Value Targets: It Systems, Production Control Networks,
Data Sold on Dark Web: It Systems, Production Control Networks,
Incident : Cyberattack JAG0092700111825
Entry Point: Suspected social engineering
High Value Targets: Production Systems, Supply Chain Data,
Data Sold on Dark Web: Production Systems, Supply Chain Data,
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Data Breach JAG2932329092525
Root Causes: Third-Party Vendor Vulnerabilities, Social Engineering Success, Oauth Token Misconfiguration,
Incident : Operational Disruption JAG5632056092925
Corrective Actions: Phased Production Resumption, Supply Chain Stabilization, Financial Support Via Loan Guarantee,
Incident : Cyber Attack JAG1232212092925
Corrective Actions: Phased Restart With Enhanced Security Measures, Government-Backed Financial Stabilization For Supply Chain,
Incident : ransomware JAG3762537093025
Root Causes: Inadequate Data Loss Prevention For Business-Sensitive Data., Over-Reliance On Personal Data Protections, Neglecting Corporate Ip/Financial Data., Ai System Vulnerabilities Exploited For Initial Access., Supply Chain Weaknesses (E.G., Jlr'S Extended Shutdown Impact)., Delayed Or Insufficient Incident Response (E.G., Jlr'S Attack During Insurance Policy Finalization).,
Corrective Actions: Strengthen Segmentation Between Personal And Business-Sensitive Data., Implement Ai-Specific Security Controls (E.G., Adversarial Ml Testing)., Develop Supply Chain Cyber Resilience Programs (E.G., Jlr'S Supplier Support)., Reevaluate Ransomware Response Playbooks To Account For Double Extortion (Data Encryption + Exfiltration)., Expand Cyber Insurance Adoption Among Smes, With Government-Backed Options If Necessary.,
Incident : cyber attack JAG3192031100625
Root Causes: Outdated Cybersecurity Protocols In Educational Institutions And Businesses, Lack Of Incident Response Plans, Rise Of Raas Enabling Low-Skilled Actors (E.G., Teenagers) To Launch Sophisticated Attacks, Targeting Of High-Profile Victims For Notoriety, Supply Chain Vulnerabilities Amplifying Impact,
Corrective Actions: Government-Led Awareness Campaigns (E.G., Survey Dissemination), Encouragement Of Cybersecurity Upgrades Across Sectors, Potential Policy Changes To Mandate Baseline Security Standards,
Incident : Cyberattack JAG0132901100725
Root Causes: Legacy It Infrastructure With Overlapping Systems (Ford-Era Foundations)., Inadequate Segmentation Between Internet-Connected And Factory Systems ('Holes' In Air-Gapped Environments)., Failure To Act On Early Warnings (E.G., Deep Specter Research’S June 2024 Alert)., Credential Theft Via Infostealer Malware (Linked To March 2024 Hellcat Attack)., Over-Reliance On Third-Party It Services (Tcs) Without Robust Oversight.,
Corrective Actions: Phased Restart Of Systems With Enhanced Monitoring., Review Of Network Segmentation And Air-Gapping Policies., Potential Overhaul Of Sap Netweaver And Other Legacy Platforms., Supply Chain Resilience Assessments., Government-Led Review Of Cybersecurity Standards For Foreign-Owned Critical Firms.,
Incident : Cyberattack JAG2102021100825
Root Causes: Exploitation Of Unpatched Vulnerability (Cve-2015-2291), Inadequate Third-Party Risk Management, Late Breach Detection (Attackers Already Within It Infrastructure), Over-Reliance On Interconnected Systems Without Resilience Controls,
Corrective Actions: Accelerated Patch Management For Critical Vulnerabilities, Enhanced Third-Party Cybersecurity Audits, Deployment Of Integrated It/Ot Monitoring Solutions, Updated Incident Response Playbooks For Operational Resilience, Investment In Rapid Detection And Recovery Capabilities,
Incident : Cyber Attack (Operational Disruption) JAG0062100102325
Corrective Actions: Strengthen It/Ot Resilience, Map Supply Chain Dependencies, Assess Insurance Needs For Operational Disruption Risks,
Incident : Cyber Attack JAG4132041102325
Corrective Actions: Financial Stabilization Of Supply Chain, Gradual Production Restart,
Incident : Ransomware JAG2602026102425
Root Causes: Overreliance On Traditional Detection Methods, Inadequate Incident Response Preparedness, Failure To Address Specific Initial Attack Vectors, Underestimation Of Ai-Driven Attack Speed/Sophistication,
Corrective Actions: Shift To Ai-Native Security Platforms (E.G., Crowdstrike Falcon), Mandate Root-Cause Remediation In Post-Incident Reviews, Implement Continuous Threat Exposure Management (Ctem), Enhance Cross-Sector Collaboration On Ai Threat Intelligence,
Incident : Cyber-Attack JAG0032200102425
Corrective Actions: Phased Recovery Plan, Supply Chain Resilience Programs (Proposed),
Incident : Data Breach JAG2932829102425
Root Causes: Over-Reliance On Compliance-Driven Training, Abstract Threat Perception ('Not Us' Mindset), Lack Of Contextual, Practical Scenario-Based Learning, High Workforce Turnover And Seasonal Staff Vulnerabilities, Insufficient Empowerment To Challenge Suspicious Requests,
Corrective Actions: Implement Gamified, Collaborative Training Programs (E.G., 'Cards Against Cyber Crime'), Embed Cybersecurity Into Organizational Culture Via Brand Trust Narratives, Develop Role-Specific, Real-World Scenario Simulations, Establish Metrics For Behavioral Change (E.G., Reporting Confidence, Peer Support), Integrate Cybersecurity Into Onboarding For Seasonal/Temporary Staff,
Incident : Unauthorized AI Deployment TAT2032920103125
Root Causes: Lack Of It Oversight For Ai Tool Deployments., Absence Of Enterprise-Wide Ai Governance Policies., Employee Unaware Of Risks Associated With Unauthorized Ai Tools., Rapid Proliferation Of Easy-To-Use, No-Code Ai Agents., Inadequate Monitoring Of Data Flows To Third-Party Ai Services.,
Corrective Actions: Develop And Enforce **Ai Usage Policies** Aligned With Security And Compliance Standards., Implement **Ai Discovery And Monitoring Tools** To Detect Shadow Deployments., Conduct **Regular Risk Assessments** For Third-Party Ai Services., Establish **Cross-Departmental Ai Governance Committees** To Oversee Tool Adoption., Enhance **Employee Training Programs** On Shadow Ai Risks And Approved Alternatives., Integrate **Ai Ethics And Compliance Checks** Into Procurement Processes For New Tools., Foster **Collaboration With Regulators** To Stay Ahead Of Evolving Ai-Related Laws., Promote **Transparency Initiatives** Where Employees Voluntarily Disclose Ai Tool Usage.,
Incident : Cyberattack JAG0132201110725
Root Causes: Inadequate Cybersecurity Measures To Prevent Systemic Operational Disruption., Supply Chain Interdependencies Amplified Economic Impact., Possible Exploitation Of Unpatched Vulnerabilities Or Insider Threats (Unconfirmed).,
Corrective Actions: Government-Led Review Of Critical Infrastructure Cybersecurity Standards., Jlr'S Overhaul Of Production System Resilience And Backup Protocols., Ncsc'S Call For Mandatory Cybersecurity Audits For Nationally Significant Organizations.,
Incident : Cyberattack JAG2592025111525
Corrective Actions: Government Financial Intervention, Restoration Of Supply Chain And Logistics, Maintenance Of Investment Spending (£18 Billion Over 5 Years),
Incident : Cyberattack JAG2492124111725
Root Causes: Third-Party Supply Chain Vulnerability (Tata Consultancy Services), Suspected Lockbit Ransomware Attack,
Corrective Actions: Increased Internal Security Posture, Enhanced Third-Party Risk Management Programs, Likely Deployment Of Edr/Xdr Systems (Speculated),
Incident : cyberattack JAG1593115111725
Root Causes: Over-Reliance On Outsourced Cybersecurity Without Adequate Oversight., Lack Of System Isolation In Interconnected Smart Factories., Insufficient Incident Response Preparedness For Large-Scale Attacks., Vendor Vulnerabilities In Supply Chain Integrations.,
Corrective Actions: Reevaluating Third-Party Cybersecurity Partnerships., Investing In Internal Cybersecurity Capabilities., Implementing Stricter Access Controls And Network Segmentation., Enhancing Supply Chain Cyber Resilience., Updating Governance Frameworks To Include Cyber Risk Oversight.,
Incident : Cyberattack JAG0092700111825
Root Causes: Social Engineering Vulnerability, Supply Chain Interconnectedness, Timing During High-Volume Production Month,
Corrective Actions: Phased Recovery Protocol, Supplier Financing Support, Risk Ranking For Suppliers (Per Moody’S),
What is the company's process for conducting post-incident analysis ?
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Cybersecurity Specialists (Jlr), Ncsc (Jlr), Law Enforcement (Jlr), , Cybersecurity Specialists, Uk National Cyber Security Centre (Ncsc), , Entity: Jaguar Land Rover, Providers: ['UK government (£1.5B loan guarantee)', 'cyber insurance broker'], Entity: Marks and Spencer, Providers: ['cyber insurance providers (partial reimbursement expected)'], , Government Support (E.G., Jlr), Cybersecurity Firms (Unspecified), , Cybersecurity Specialists (Unnamed), Uk National Cyber Security Centre (Ncsc), , Likely (post-incident reviews ongoing), E2E-Assure (Incident Response), Unnamed Security Partners, , Planned (post-incident), Uk Government (£1.5Bn Loan Guarantee), Tata Group (Financial Support), , Yes (47% of organizations post-incident), Cyber Monitoring Center (Cmc), Loughborough University (Prof. Oli Buckley), , Ai-Powered Monitoring For Shadow Ai, , Uk Government (Financial Support), , Cybersecurity Vendors (Details Unspecified), , Post-Incident Cybersecurity Improvements (Planned), , .
What corrective actions has the company taken based on post-incident analysis ?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Phased Production Resumption, Supply Chain Stabilization, Financial Support Via Loan Guarantee, , Phased Restart With Enhanced Security Measures, Government-Backed Financial Stabilization For Supply Chain, , Strengthen Segmentation Between Personal And Business-Sensitive Data., Implement Ai-Specific Security Controls (E.G., Adversarial Ml Testing)., Develop Supply Chain Cyber Resilience Programs (E.G., Jlr'S Supplier Support)., Reevaluate Ransomware Response Playbooks To Account For Double Extortion (Data Encryption + Exfiltration)., Expand Cyber Insurance Adoption Among Smes, With Government-Backed Options If Necessary., , Government-Led Awareness Campaigns (E.G., Survey Dissemination), Encouragement Of Cybersecurity Upgrades Across Sectors, Potential Policy Changes To Mandate Baseline Security Standards, , Phased Restart Of Systems With Enhanced Monitoring., Review Of Network Segmentation And Air-Gapping Policies., Potential Overhaul Of Sap Netweaver And Other Legacy Platforms., Supply Chain Resilience Assessments., Government-Led Review Of Cybersecurity Standards For Foreign-Owned Critical Firms., , Accelerated Patch Management For Critical Vulnerabilities, Enhanced Third-Party Cybersecurity Audits, Deployment Of Integrated It/Ot Monitoring Solutions, Updated Incident Response Playbooks For Operational Resilience, Investment In Rapid Detection And Recovery Capabilities, , Strengthen It/Ot Resilience, Map Supply Chain Dependencies, Assess Insurance Needs For Operational Disruption Risks, , Financial Stabilization Of Supply Chain, Gradual Production Restart, , Shift To Ai-Native Security Platforms (E.G., Crowdstrike Falcon), Mandate Root-Cause Remediation In Post-Incident Reviews, Implement Continuous Threat Exposure Management (Ctem), Enhance Cross-Sector Collaboration On Ai Threat Intelligence, , Phased Recovery Plan, Supply Chain Resilience Programs (Proposed), , Implement Gamified, Collaborative Training Programs (E.G., 'Cards Against Cyber Crime'), Embed Cybersecurity Into Organizational Culture Via Brand Trust Narratives, Develop Role-Specific, Real-World Scenario Simulations, Establish Metrics For Behavioral Change (E.G., Reporting Confidence, Peer Support), Integrate Cybersecurity Into Onboarding For Seasonal/Temporary Staff, , Develop And Enforce **Ai Usage Policies** Aligned With Security And Compliance Standards., Implement **Ai Discovery And Monitoring Tools** To Detect Shadow Deployments., Conduct **Regular Risk Assessments** For Third-Party Ai Services., Establish **Cross-Departmental Ai Governance Committees** To Oversee Tool Adoption., Enhance **Employee Training Programs** On Shadow Ai Risks And Approved Alternatives., Integrate **Ai Ethics And Compliance Checks** Into Procurement Processes For New Tools., Foster **Collaboration With Regulators** To Stay Ahead Of Evolving Ai-Related Laws., Promote **Transparency Initiatives** Where Employees Voluntarily Disclose Ai Tool Usage., , Government-Led Review Of Critical Infrastructure Cybersecurity Standards., Jlr'S Overhaul Of Production System Resilience And Backup Protocols., Ncsc'S Call For Mandatory Cybersecurity Audits For Nationally Significant Organizations., , Government Financial Intervention, Restoration Of Supply Chain And Logistics, Maintenance Of Investment Spending (£18 Billion Over 5 Years), , Increased Internal Security Posture, Enhanced Third-Party Risk Management Programs, Likely Deployment Of Edr/Xdr Systems (Speculated), , Reevaluating Third-Party Cybersecurity Partnerships., Investing In Internal Cybersecurity Capabilities., Implementing Stricter Access Controls And Network Segmentation., Enhancing Supply Chain Cyber Resilience., Updating Governance Frameworks To Include Cyber Risk Oversight., , Phased Recovery Protocol, Supplier Financing Support, Risk Ranking For Suppliers (Per Moody’S), .
Additional Questions
General Information
Has the company ever paid ransoms ?
Ransom Payment History: The company has Paid ransoms in the past.
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident were an Hunters International, Hunters International, ShinyHunters (Salesforce Breach), unnamed ransomware groupscybercriminal syndicates, English-speaking teenage hackersRussian-speaking cybercriminals (RaaS providers)potential state-sponsored actors (Russia), Scattered Lapsus$ Hunters (coalition of Scattered Spider, Lapsus$, Shiny Hunters)Hacker using username 'Rey' (linked to March 2024 Hellcat ransomware attack), Scattered Lapsus$ Hunters (associated with Scattered Spider/Shiny Hunters), Financially Motivated ActorsRansomware GroupsAI-Enhanced Adversaries, Insider Threat (Unintentional)Employees Using Unauthorized AICybercriminals Exploiting Shadow AI Vulnerabilities (e.g., Qilin Ransomware Groups), Scattered Spider (suspected, unconfirmed), Scattered Lapsus$ Hunters, LockBit (suspected), unnamed hacker group (claimed responsibility) and Threat group linked to the April 2023 Marks & Spencer attack.
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on January 2023.
What was the most recent incident publicly disclosed ?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2023-10-27.
What was the most recent incident resolved ?
Most Recent Incident Resolved: The most recent incident resolved was on 2026-01.
Impact of the Incidents
What was the most significant data compromised in an incident ?
Most Significant Data Compromised: The most significant data compromised in an incident were Personnel files including sick days, disciplinary issues, and potential firings, 1.4TB, Sensitive Data, Contact Information (Stellantis), , personal data (e.g., nursery chain children's records), business-sensitive data (contracts, executive emails, financials, intellectual property), , children's images (nursery chain), business operational data (JLR), potentially PII across sectors, , Internal systems documentation, Vehicle documentation, Potential customer/employee data (unconfirmed), , , Customer Data, Taxpayer Accounts (100,000+ in HMRC breach), Loyalty Card Transactions, Payment Information, , Sensitive Corporate Data, Intellectual Property, Proprietary Information, Customer Data (Potential), 70TB of Data (Tata Motors Example), , None (publicly reported), , potential customer data exposure (under investigation) and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident were Third-Party Service Provider Platform (Salesforce)Jaguar Land Rover Production Systems and Production systemsSupplier invoice processingParts distributionVehicle sales/registrations and Manufacturing OperationsAssembly LinesSupply Chain Systems and JLR factory operations (1-month shutdown)M&S IT infrastructure (mid-April 2024 attack)Co-op systems (unspecified)SME networks (27% of 5,750 surveyed) and enterprise IT systems (JLR)educational institution networkssupply chain systems and Manufacturing systems (UK, China, India, Brazil, Slovakia)SAP Netweaver platformSupply chain logisticsProduction planning databases and Manufacturing Facilities (UK: Solihull, Halewood; International Sites)Global IT SystemsDealership OperationsSupply Chain NetworksOperational Technology (OT) and IT systemsmanufacturing operations (OT potentially impacted) and All factories (Halewood, Solihull, Castle Bromwich)Offices globally (UK, China, Slovakia, Brazil)Supply chain systems (~5,000 organizations)Dealership networks and IT systemsGlobal manufacturing operations (Solihull, Wolverhampton, Halewood plants) and Enterprise WorkflowsData Analysis ToolsContent Generation PlatformsCloud Storage (e.g., AWS)AI-Powered Applications and Production PlantsSupply Chain SystemsOperational Infrastructure and Production linesDealer systemsSupply chain management systems and Production PlantsSupply Chain SystemsParts LogisticsSupplier Financing and Production systems (UK) and Back-office systemsCommunications channelsIT services and IT systemsproduction facilitiessupply chain operationssmart factory integrations and Production systemsSupply chain networks.
Response to the Incidents
What third-party assistance was involved in the most recent incident ?
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was cybersecurity specialists (jlr), ncsc (jlr), law enforcement (jlr), , cybersecurity specialists, uk national cyber security centre (ncsc), , entity: jaguar land rover, providers: uk government (£1.5b loan guarantee), cyber insurance broker, entity: marks and spencer, providers: cyber insurance providers (partial reimbursement expected), , government support (e.g., jlr), cybersecurity firms (unspecified), , cybersecurity specialists (unnamed), uk national cyber security centre (ncsc), , e2e-assure (incident response), unnamed security partners, , uk government (£1.5bn loan guarantee), tata group (financial support), , cyber monitoring center (cmc), loughborough university (prof. oli buckley), , uk government (financial support), , cybersecurity vendors (details unspecified), , .
What containment measures were taken in the most recent incident ?
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Suspension of certain IT services, Prompt Action to Contain (Stellantis)Production Pause (JLR), Complete shutdown of manufacturing operationsIsolation of affected systems, government intervention (e.g., JLR)shutdown of affected systems, Systems taken offline immediatelyIsolation of affected networksBackup restoration, Proactive IT System ShutdownDisconnection of Affected Networks, System shutdowns across all sitesIsolation of affected networks, Budget Increases (51% of organizations)Enhanced Detection/Monitoring (47%), IT system shutdownGlobal manufacturing halt, AI Discovery ToolsAdvanced MonitoringPolicy Enforcement, Shutdown of Production PlantsIsolation of Affected Systems (implied), immediate IT system shutdownfacility closuresstaff sent home and System shutdownPhased restart.
Data Breach Information
What was the most sensitive data compromised in a breach ?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were personal data (e.g., nursery chain children's records), potentially PII across sectors, Sensitive Corporate Data, Vehicle documentation, Proprietary Information, None (publicly reported), Internal systems documentation, Payment Information, Personnel files including sick days, disciplinary issues, and potential firings, potential customer data exposure (under investigation), children's images (nursery chain), 70TB of Data (Tata Motors Example), business-sensitive data (contracts, executive emails, financials, intellectual property), Taxpayer Accounts (100,000+ in HMRC breach), Sensitive Data, Contact Information (Stellantis), 1.4TB, Intellectual Property, Customer Data, Customer Data (Potential), Loyalty Card Transactions, business operational data (JLR) and Potential customer/employee data (unconfirmed).
What was the number of records exposed in the most significant breach ?
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 1.5B.
Ransomware Information
What was the highest ransom paid in a ransomware incident ?
Highest Ransom Paid: The highest ransom paid in a ransomware incident was Yes (by 83% of victims who complied, but 93% had data stolen regardless).
Regulatory Compliance
What was the highest fine imposed for a regulatory violation ?
Highest Fine Imposed: The highest fine imposed for a regulatory violation was entity: Unspecified SMEs, description: substantial fines for data protection failures (per Hiscox report), .
Lessons Learned and Recommendations
What was the most significant lesson learned from past incidents ?
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Ranking suppliers by cyber risk exposure.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Review cyber insurance coverage for operational disruption., SMEs should explore collective cybersecurity resources (e.g., shared insurance pools) to mitigate costs., Finalize cyber insurance policies, Foster a **culture of transparency** where employees report AI tool adoptions., Implement stricter access controls and supplier vetting, Enhance supply chain cybersecurity protocols, Conduct third-party risk assessments for multi-tier suppliers, Develop supply chain contingency plans for prolonged downtime., Integrate cybersecurity into daily workflows (e.g., 'double-check sender' habits)., Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks., Implement redundant systems to mitigate single points of failure, Enhance collaboration between private sector and government for critical infrastructure protection., Prioritize cybersecurity resilience as a board-level operational risk., Prioritize patching AI systems and supply chain vulnerabilities., Enhance employee training on AI-powered social engineering (e.g., deepfake phishing)., Invest in unified alerting systems for IT, OT, and IoT devices., Implement immutable backups and test restoration processes regularly., Adopt **hybrid approaches** combining technology (e.g., auditing tools) and policy updates to mitigate risks., Challenge the 'not us' mindset by demonstrating real-world retail-targeted attacks., Prioritize security awareness training (though acknowledge human fallibility)., Implement and regularly update cybersecurity protocols and incident response plans., Prioritize **vendor risk assessments** for third-party AI services to ensure data security., Conduct ongoing user awareness training focusing on phishing and remote access risks., Adopt AI-driven defense platforms to counter AI-powered attacks., Deploy **AI discovery tools** to detect unauthorized shadow AI deployments., Prioritize root-cause analysis in incident response to prevent repeat attacks., Develop comprehensive incident response plans for supply chain disruptions., Implement robust backup and recovery protocols for interconnected systems., Enhance employee training on cyber threat awareness, Increase collaboration between government, law enforcement, and private sector for threat intelligence sharing., Strengthen supply chain resilience to mitigate ripple effects from high-profile breaches., Bolster IT security for manufacturing systems, Implement rapid intervention programs for supply chain resilience (per SMMT), Develop rapid-response financial support mechanisms for SME suppliers, Invest in threat intelligence sharing to preempt emerging AI-driven tactics., Evaluate adaptive security measures like behavioral WAFs for connected systems., Use psychology to design training: leverage curiosity, emotional engagement, and habit formation., Enhance employee training on phishing and social engineering, given the human factor in breaches., Enhance supply chain cybersecurity resilience, Foster closer collaboration between private sector and government cybersecurity agencies, Replace passive training (slide decks, quizzes) with interactive, scenario-based programs., Develop contingency plans for prolonged operational disruptions, Implement automated threat detection for credential theft (e.g., infostealer malware)., Conduct tabletop exercises for ransomware scenarios, including negotiation and recovery phases., Implement network segmentation to contain future breaches., Upgrade incident response plans with AI-specific playbooks., Deploy continuous threat detection using EDR and XDR systems., Develop contingency plans for critical production periods, Target high-risk groups (supply chain, privileged users) with tailored, role-specific training., Conduct sector-wide cybersecurity audits, particularly for educational institutions., Replace or modernize legacy systems (e.g., SAP Netweaver) with zero-trust architectures., Integrate **advanced monitoring** (e.g., AI-powered solutions) to track data flows to third-party AI services., Invest in internal cybersecurity expertise to reduce third-party dependencies., Invest in robust data loss prevention controls to protect sensitive business data., Enhance third-party vendor cybersecurity audits (especially for IT service providers like TCS)., Educate employees and students on cyber hygiene and social engineering risks., Strengthen cybersecurity protocols for manufacturing and supply chain systems, Provide **employee training** on the risks of unauthorized AI tools and approved alternatives., Measure success via behavioral metrics (e.g., threat reporting rates, peer advice confidence)., Conduct regular audits of vendor cybersecurity practices., Implement robust supply chain cybersecurity protocols to mitigate systemic risks., Clarify government roles in cyber incident response to avoid ad-hoc bailouts., Review and stress-test incident response plans for scenarios with macroeconomic implications., Plan for network disruption scenarios., Shift from prevention-only to resilience-based cybersecurity (detect, respond, recover)., Collaborate with **regulatory bodies** (e.g., NAIC) to align AI practices with evolving compliance standards., Prepare for post-shutdown demand surges (per Autotrader insights), Identify and protect critical networks., Enhance monitoring for RaaS activity, especially among domestic threat actors., Enhance supply chain risk assessments., Enhance monitoring for early threat detection in smart manufacturing environments., Conduct regular red team exercises to test incident response plans., Enhance supply chain cybersecurity assessments and third-party risk management., Evaluate cyber insurance policies to ensure coverage aligns with financial risk (e.g., JLR's £10M excess may be prohibitive for SMEs)., Improve incident response preparedness and rapid containment protocols., Implement **AI governance frameworks** to monitor and approve AI tool usage., Regularly update incident response plans to account for ransomware and extortion tactics., Improve transparency in customer communications during incidents., Enhance visibility of third-party IT infrastructure with rigorous auditing., Retain tax breaks for Employee Car Ownership Schemes to support recovery, Conduct **regular audits** of AI usage across departments to identify blind spots., Strengthen compliance with global data protection regulations (e.g., GDPR)., Frame cybersecurity as a brand trust issue, not just a technical or compliance requirement. and Update **security policies** to explicitly address shadow AI risks and compliance requirements..
References
What is the most recent source of information about an incident ?
Most Recent Source: The most recent source of information about an incident are ITNewsBreaking (X posts), Bloomberg, UK Government Announcement (Loan Guarantee), BleepingComputer - Salesforce Data Breach, BBC - Hacker Group Claim (Telegram, now deleted), Nikkei Asia, IBM Topic Overview, Cybanetix (Martin Jakobsen, CEO), The New Stack, Office for Budget Responsibility (OBR) Report (2021), Cyber Monitoring Centre Report on Jaguar Land Rover Hack, Cyber Monitoring Centre (CMC) Category 3 Systemic Event Classification, Reuters, Skywork.ai, Society of Motor Manufacturers and Traders (SMMT), Business Standard, ISACA Industry News, BBC - JLR Cyber Attack Coverage, CrowdStrike 2024 State of Ransomware Survey, Loughborough University (Prof. Oli Buckley), BBC, JLR Official Statement (Sept 25), WebProNews, ITPro (article), Aithority, Jaguar Land Rover Quarterly Financial Report (Q3 2023), BusinessToday, Moody’s Report on European Supply Chain Risks (2023-10-30), Case Study: 'Cards Against Cyber Crime' Program, Royal United Services Institute (RUSI) - Jamie MacColl, WitnessAI Blog, Asia In Brief (The Register), Forbes, Stellantis Press Release, The Insurer (trade publication), The Independent, Economic Times Auto, Cyber Monitoring Center Report, NBC News - Interview with Ciaran Martin (Cyber Monitoring Centre), News Hub (Australian Businesses), Forbes Council Post, Deep Specter Research (Shaya Feedman), Tom's Hardware, BBC News, Undercode News (X), Global Tech Updates (X posts), e2e-assure (Simon Chassar, Interim COO), The Hacker News, TechTarget, Sky News, Techwire Asia, Jaguar Land Rover Website Notification, The Guardian, Black Country Chambers of Commerce Survey, Bank of England Quarterly Monetary Policy Report, FBI Flash Advisory, WIRED, News Hub (NAIC Guidance), University of Birmingham (David Bailey, Professor of Business Economics), IMARC Group (cyber insurance market data), UK Government Survey (2025), Jaguar Land Rover Financial Results (Q3 2025), Modu (Justin Browne, CTO), Hiscox Cyber Readiness Report 2025, Cyber Monitoring Centre (CMC), National Cyber Security Centre (NCSC) Annual Review, Microsoft Threat Intelligence (2023 Cyber Incident Data), Cyber Monitoring Center (CMC), Bank of England (BoE) Rates Decision Announcement, Media reports on LockBit ransomware attacks targeting Tata Group, Bloomberg News, Cybersecurity Industry Observers (Unnamed), Industrial Cyber, Bank of England Monetary Policy Report (Q3 2025), QUONtech (Michael Reichstein, CISO), JLR Public Statements (September 2025), Invicti 2025 Blog, Autotrader, Jaguar Land Rover Q2 Earnings Call (2023-10-27), Royal United Services Institute (RUSI) - James MacColl and BleepingComputer - Farmers Insurance Breach.
What is the most recent URL for additional resources on cybersecurity best practices ?
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is https://www.independent.co.uk, https://news.sky.com/story/cyber-attacks-80-of-ransomware-victims-pay-up-insurer-says-13023456, https://www.bloomberg.com/news/articles/2024-10-04/jaguar-land-rover-cyberattack-shows-uk-s-vulnerability-to-hackers, https://www.crowdstrike.com/resources/reports/2024-global-threat-report/ .
Investigation Status
What is the current status of the most recent investigation ?
Current Status of Most Recent Investigation: The current status of the most recent investigation is ['Ongoing (Stellantis)', 'Ongoing (JLR)'].
Stakeholder and Customer Advisories
What was the most recent stakeholder advisory issued ?
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was JLR Suppliers Impacted, UK Government Supply Chain Review, UK Export Finance, Commercial Bank (loan provider), Tata Group, JLR Employees/Unions, Supply Chain Partners, Updates provided to employees, retailers, and suppliers on phased restart, Government briefings on financial support and systemic risk mitigation, UK government: Financial support for systemic risks (e.g., JLR supply chain)., Hiscox: Urged businesses to invest in cyber protections, highlighting reputational and financial risks., Assured (cyber insurance broker): Advised on aligning policy coverage with true financial risk., Government encourages adoption of cybersecurity best practices via survey findings, UK government guaranteed £1.5 billion emergency loan to stabilize supply chain., Automotive industry analysts (e.g., Charles Tennant) warned of long-term production gaps., Unite union (Norman Cunningham) highlighted worker hardships from layoffs/short-time schedules., UK Government loan guarantee (£1.5bn), Tata Group financial support, SMMT calls for government support to restore competitiveness, JLR implementing phased production restart, Shift focus from compliance to resilience, Invest in human-centric cybersecurity culture, CISOs and IT leaders urged to implement AI governance frameworks., Enterprises advised to audit unauthorized AI innovations., Regulatory bodies (e.g., NAIC) issuing guidance on responsible AI practices., Bank of England: Cited cyberattack as factor in GDP growth revision., UK Government: Provided financial support to JLR due to systemic risk., NCSC: Warned of 50% increase in nationally significant cyberattacks (204 in 2023 vs. 89 in 2022)., UK Government Loan Guarantee (£1.5 billion), Bank of England GDP Impact Assessment, regulatory disclosures, public statements on recovery progress, UK government loan package for suppliers, Moody’s risk assessment for European manufacturers, .
What was the most recent customer advisory issued ?
Most Recent Customer Advisory: The most recent customer advisory issued were an Direct Notifications to Affected Customers (Stellantis), entity: Nursery chain, action: Likely notified families about potential data exposure (details unspecified)., entity: Marks and Spencer/Co-op, action: No public customer advisories mentioned (as of report)., , Limited updates to affected customers (e.g., Navarro Jordan’s delayed Land Rover Defender).Dealers lacked information to provide timely responses.No public compensation or remediation offers announced., Potential delivery delays for JLR vehicles (e.g., Range Rover Sport, Jaguar I-Pace), Reinforce brand trust through transparent communication about cybersecurity measures, Customers of affected enterprises (e.g., Tata Motors) may face heightened risks of data exposure.General public advised to monitor corporate disclosures about shadow AI-related breaches., Public acknowledgment of disruption (2024-09-02) and potential data exposure notifications (pending investigation results).
Initial Access Broker
What was the most recent entry point used by an initial access broker ?
Most Recent Entry Point: The most recent entry point used by an initial access broker were an Third-party supplier (Tata Consultancy Services) and Suspected social engineering.
What was the most recent reconnaissance period for an incident ?
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was Months (evidence of targeting since at least June 2024; linked to earlier March 2024 intrusion).
Post-Incident Analysis
What was the most significant root cause identified in post-incident analysis ?
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Third-Party Vendor VulnerabilitiesSocial Engineering SuccessOAuth Token Misconfiguration, Inadequate data loss prevention for business-sensitive data.Over-reliance on personal data protections, neglecting corporate IP/financial data.AI system vulnerabilities exploited for initial access.Supply chain weaknesses (e.g., JLR's extended shutdown impact).Delayed or insufficient incident response (e.g., JLR's attack during insurance policy finalization)., Outdated cybersecurity protocols in educational institutions and businessesLack of incident response plansRise of RaaS enabling low-skilled actors (e.g., teenagers) to launch sophisticated attacksTargeting of high-profile victims for notorietySupply chain vulnerabilities amplifying impact, Legacy IT infrastructure with overlapping systems (Ford-era foundations).Inadequate segmentation between internet-connected and factory systems ('holes' in air-gapped environments).Failure to act on early warnings (e.g., Deep Specter Research’s June 2024 alert).Credential theft via infostealer malware (linked to March 2024 Hellcat attack).Over-reliance on third-party IT services (TCS) without robust oversight., Exploitation of Unpatched Vulnerability (CVE-2015-2291)Inadequate Third-Party Risk ManagementLate Breach Detection (attackers already within IT infrastructure)Over-Reliance on Interconnected Systems Without Resilience Controls, Overreliance on traditional detection methodsInadequate incident response preparednessFailure to address specific initial attack vectorsUnderestimation of AI-driven attack speed/sophistication, Over-reliance on compliance-driven trainingAbstract threat perception ('not us' mindset)Lack of contextual, practical scenario-based learningHigh workforce turnover and seasonal staff vulnerabilitiesInsufficient empowerment to challenge suspicious requests, Lack of IT oversight for AI tool deployments.Absence of enterprise-wide AI governance policies.Employee unaware of risks associated with unauthorized AI tools.Rapid proliferation of easy-to-use, no-code AI agents.Inadequate monitoring of data flows to third-party AI services., Inadequate cybersecurity measures to prevent systemic operational disruption.Supply chain interdependencies amplified economic impact.Possible exploitation of unpatched vulnerabilities or insider threats (unconfirmed)., Third-party supply chain vulnerability (Tata Consultancy Services)Suspected LockBit ransomware attack, Over-reliance on outsourced cybersecurity without adequate oversight.Lack of system isolation in interconnected smart factories.Insufficient incident response preparedness for large-scale attacks.Vendor vulnerabilities in supply chain integrations., Social engineering vulnerabilitySupply chain interconnectednessTiming during high-volume production month.
What was the most significant corrective action taken based on post-incident analysis ?
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Phased production resumptionSupply chain stabilizationFinancial support via loan guarantee, Phased restart with enhanced security measuresGovernment-backed financial stabilization for supply chain, Strengthen segmentation between personal and business-sensitive data.Implement AI-specific security controls (e.g., adversarial ML testing).Develop supply chain cyber resilience programs (e.g., JLR's supplier support).Reevaluate ransomware response playbooks to account for double extortion (data encryption + exfiltration).Expand cyber insurance adoption among SMEs, with government-backed options if necessary., Government-led awareness campaigns (e.g., survey dissemination)Encouragement of cybersecurity upgrades across sectorsPotential policy changes to mandate baseline security standards, Phased restart of systems with enhanced monitoring.Review of network segmentation and air-gapping policies.Potential overhaul of SAP Netweaver and other legacy platforms.Supply chain resilience assessments.Government-led review of cybersecurity standards for foreign-owned critical firms., Accelerated Patch Management for Critical VulnerabilitiesEnhanced Third-Party Cybersecurity AuditsDeployment of Integrated IT/OT Monitoring SolutionsUpdated Incident Response Playbooks for Operational ResilienceInvestment in Rapid Detection and Recovery Capabilities, Strengthen IT/OT resilienceMap supply chain dependenciesAssess insurance needs for operational disruption risks, Financial stabilization of supply chainGradual production restart, Shift to AI-native security platforms (e.g., CrowdStrike Falcon)Mandate root-cause remediation in post-incident reviewsImplement continuous threat exposure management (CTEM)Enhance cross-sector collaboration on AI threat intelligence, Phased recovery planSupply chain resilience programs (proposed), Implement gamified, collaborative training programs (e.g., 'Cards Against Cyber Crime')Embed cybersecurity into organizational culture via brand trust narrativesDevelop role-specific, real-world scenario simulationsEstablish metrics for behavioral change (e.g., reporting confidence, peer support)Integrate cybersecurity into onboarding for seasonal/temporary staff, Develop and enforce **AI usage policies** aligned with security and compliance standards.Implement **AI discovery and monitoring tools** to detect shadow deployments.Conduct **regular risk assessments** for third-party AI services.Establish **cross-departmental AI governance committees** to oversee tool adoption.Enhance **employee training programs** on shadow AI risks and approved alternatives.Integrate **AI ethics and compliance checks** into procurement processes for new tools.Foster **collaboration with regulators** to stay ahead of evolving AI-related laws.Promote **transparency initiatives** where employees voluntarily disclose AI tool usage., Government-led review of critical infrastructure cybersecurity standards.JLR's overhaul of production system resilience and backup protocols.NCSC's call for mandatory cybersecurity audits for nationally significant organizations., Government Financial InterventionRestoration of Supply Chain and LogisticsMaintenance of Investment Spending (£18 billion over 5 years), Increased internal security postureEnhanced third-party risk management programsLikely deployment of EDR/XDR systems (speculated), Reevaluating third-party cybersecurity partnerships.Investing in internal cybersecurity capabilities.Implementing stricter access controls and network segmentation.Enhancing supply chain cyber resilience.Updating governance frameworks to include cyber risk oversight., Phased recovery protocolSupplier financing supportRisk ranking for suppliers (per Moody’s).
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Latest Global CVEs (Not Company-Specific)
Description
FreePBX Endpoint Manager is a module for managing telephony endpoints in FreePBX systems. Versions prior to 16.0.96 and 17.0.1 through 17.0.9 have a weak default password. By default, this is a 6 digit numeric value which can be brute forced. (This is the app_password parameter). Depending on local configuration, this password could be the extension, voicemail, user manager, DPMA or EPM phone admin password. This issue is fixed in versions 16.0.96 and 17.0.10.
Risk Information
cvss4
Base: 6.9
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Neuron is a PHP framework for creating and orchestrating AI Agents. In versions 2.8.11 and below, the MySQLWriteTool executes arbitrary SQL provided by the caller using PDO::prepare() + execute() without semantic restrictions. This is consistent with the name (“write tool”), but in an LLM/agent context it becomes a high-risk capability: prompt injection or indirect prompt manipulation can cause execution of destructive queries such as DROP TABLE, TRUNCATE, DELETE, ALTER, or privilege-related statements (subject to DB permissions). Deployments that expose an agent with MySQLWriteTool enabled to untrusted input and/or run the tool with a DB user that has broad privileges are impacted. This issue is fixed in version 2.8.12.
Risk Information
cvss3
Base: 9.4
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H
Description
Neuron is a PHP framework for creating and orchestrating AI Agents. Versions 2.8.11 and below use MySQLSelectTool, which is vulnerable to Read-Only Bypass. MySQLSelectTool is intended to be a read-only SQL tool (e.g., for LLM agent querying, however, validation based on the first keyword (e.g., SELECT) and a forbidden-keyword list does not block file-writing constructs such as INTO OUTFILE / INTO DUMPFILE. As a result, an attacker who can influence the tool input (e.g., via prompt injection through a public agent endpoint) may write arbitrary files to the DB server if the MySQL/MariaDB account has the FILE privilege and server configuration permits writes to a useful location (e.g., a web-accessible directory). This issue is fixed in version 2.8.12.
Risk Information
cvss3
Base: 8.2
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N
Description
Okta Java Management SDK facilitates interactions with the Okta management API. In versions 11.0.0 through 20.0.0, race conditions may arise from concurrent requests using the ApiClient class. This could cause a status code or response header from one request’s response to influence another request’s response. This issue is fixed in version 20.0.1.
Risk Information
cvss3
Base: 8.4
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:L
Description
The Auth0 Next.js SDK is a library for implementing user authentication in Next.js applications. When using versions 4.11.0 through 4.11.2 and 4.12.0, simultaneous requests on the same client may result in improper lookups in the TokenRequestCache for the request results. This issue is fixed in versions 4.11.2 and 4.12.1.
Risk Information
cvss3
Base: 5.4
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:N
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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
