Company Details
global-ntt
58,499
1,082,339
5415
global.ntt
0
NTT_7944945
In-progress

NTT DATA, Inc. Company CyberSecurity Posture
global.nttNTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
Company Details
global-ntt
58,499
1,082,339
5415
global.ntt
0
NTT_7944945
In-progress
Between 800 and 849

NDI Global Score (TPRM)XXXX

Description: NTT Communications Corporation reported a cybersecurity incident affecting approximately 18,000 corporate customers. Hackers compromised the 'Order Information Distribution System,' resulting in the potential theft of customer names, contact details, and service usage information. Despite the security breach discovery on February 5 and the containment of threats, further investigation revealed an attacker's pivot to another network device on February 15, which was also disconnected. NTT's incident response did not include personalized notifications; instead, a public website announcement was made. The breach did not affect contracts for smartphones and mobile phones provided by NTT Docomo.
Description: NTT Communications, a Japanese telecoms service provider, has experienced a significant data breach with unauthorized access detected on February 5th and again on February 15th. The breach has potentially compromised data related to nearly 18,000 corporate customers' mobile phone contracts, including customer names, contacts, phone numbers, email addresses, and information about service usage. This data leak poses a risk to the confidentiality of customer information and could have severe repercussions for those affected.
Description: The cybercrime group **Coinbase Cartel** targeted **NTT Data**, a Japanese IT services giant, by exploiting vulnerabilities in its US subsidiary **Vectorform** (acquired in 2022). The attack involved **large-scale data exfiltration** without encryption, leveraging exposed credentials in cloud repositories (e.g., AWS, GitHub) and potential insider assistance. While NTT Data denied a direct breach, Vectorform’s systems were compromised, with sensitive operational, client, or proprietary data stolen. Coinbase Cartel employed a **‘leak-only’ ransomware model**, threatening public disclosure to extort payment while avoiding system disruption. The stolen data—likely including logistics, supply chain, or corporate intelligence—poses **reputational, legal, and financial risks**, particularly given the transportation/logistics sector’s reliance on third-party integrations (TMS, WMS, EDI). The breach underscores vulnerabilities in **vendor access controls, credential hygiene, and segmentation**, with the group staging leaks to pressure negotiations. No encryption occurred, but the **theft of high-value data** exposes NTT Data to regulatory scrutiny, customer distrust, and potential litigation, especially if client or employee records were exposed.


No incidents recorded for NTT DATA, Inc. in 2025.
No incidents recorded for NTT DATA, Inc. in 2025.
No incidents recorded for NTT DATA, Inc. in 2025.
NDI cyber incidents detection timeline including parent company and subsidiaries

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.


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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of NTT DATA, Inc. is https://services.global.ntt/.
According to Rankiteo, NTT DATA, Inc.’s AI-generated cybersecurity score is 806, reflecting their Good security posture.
According to Rankiteo, NTT DATA, Inc. currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, NTT DATA, Inc. is not certified under SOC 2 Type 1.
According to Rankiteo, NTT DATA, Inc. does not hold a SOC 2 Type 2 certification.
According to Rankiteo, NTT DATA, Inc. is not listed as GDPR compliant.
According to Rankiteo, NTT DATA, Inc. does not currently maintain PCI DSS compliance.
According to Rankiteo, NTT DATA, Inc. is not compliant with HIPAA regulations.
According to Rankiteo,NTT DATA, Inc. is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
NTT DATA, Inc. operates primarily in the IT Services and IT Consulting industry.
NTT DATA, Inc. employs approximately 58,499 people worldwide.
NTT DATA, Inc. presently has no subsidiaries across any sectors.
NTT DATA, Inc.’s official LinkedIn profile has approximately 1,082,339 followers.
NTT DATA, Inc. is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.
No, NTT DATA, Inc. does not have a profile on Crunchbase.
Yes, NTT DATA, Inc. maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/global-ntt.
As of December 11, 2025, Rankiteo reports that NTT DATA, Inc. has experienced 3 cybersecurity incidents.
NTT DATA, Inc. has an estimated 37,490 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack and Breach.
Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with disconnection of compromised devices, and communication strategy with public website announcement, and containment measures with enforce least-privilege access for tms/wms/edi systems, containment measures with disable legacy email protocols (imap/pop3), containment measures with implement phishing-resistant mfa, and remediation measures with deploy data loss prevention (dlp) for microsoft 365/google drive/email, remediation measures with monitor/block mass downloads via service accounts, remediation measures with configure alerts for mailbox forwarding rules and bulk compression, remediation measures with enhance edr coverage for admin/remote hosts, and network segmentation with recommended to limit lateral movement, and enhanced monitoring with behavioral analytics for anomalies, enhanced monitoring with oauth grant monitoring..
Title: NTT Communications Corporation Data Breach
Description: NTT Communications Corporation reported a cybersecurity incident affecting approximately 18,000 corporate customers. Hackers compromised the 'Order Information Distribution System,' resulting in the potential theft of customer names, contact details, and service usage information. Despite the security breach discovery on February 5 and the containment of threats, further investigation revealed an attacker's pivot to another network device on February 15, which was also disconnected. NTT's incident response did not include personalized notifications; instead, a public website announcement was made. The breach did not affect contracts for smartphones and mobile phones provided by NTT Docomo.
Date Detected: 2023-02-05
Date Resolved: 2023-02-15
Type: Data Breach
Attack Vector: Compromise of Order Information Distribution System
Threat Actor: Unknown Hackers
Motivation: Data Theft
Title: NTT Communications Data Breach
Description: NTT Communications, a Japanese telecoms service provider, has experienced a significant data breach with unauthorized access detected on February 5th and again on February 15th. The breach has potentially compromised data related to nearly 18,000 corporate customers' mobile phone contracts, including customer names, contacts, phone numbers, email addresses, and information about service usage. This data leak poses a risk to the confidentiality of customer information and could have severe repercussions for those affected.
Date Detected: 2023-02-052023-02-15
Type: Data Breach
Title: Coinbase Cartel Data Exfiltration Campaign Targeting Transportation and Logistics Sectors
Description: A new cybercrime group, 'Coinbase Cartel,' has emerged with a focus on data exfiltration (leak-only model) rather than traditional ransomware encryption. The group targets transportation, logistics, and adjacent sectors, exploiting exposed credentials, insider threats, and weak segmentation to steal high-value operational and shipment data. Victims are pressured through staged data leaks and extortion threats, with no disruption to operations, making detection difficult. Confirmed or claimed victims include NTT Data (potentially via subsidiary Vectorform). The group operates with a 'business-like' approach, including partnerships with insiders and staged evidence packages.
Date Detected: 2023-09-15
Date Publicly Disclosed: 2023-09-15
Type: Data Breach
Attack Vector: Exploiting exposed/hard-coded credentials in cloud/source code repositories (AWS, Bitbucket, GitHub)Insider-assisted accessWeak network segmentationThird-party vendor compromises (e.g., TMS, WMS, EDI systems)Staged data leaks for extortion pressure
Vulnerability Exploited: Poor credential hygiene (hard-coded/exposed credentials)Lack of least-privilege access controlsAbsence of phishing-resistant MFAUnmonitored mass data downloads/email exfiltrationLegacy email protocols (IMAP/POP3)Insufficient DLP and behavioral analytics
Threat Actor: Coinbase Cartel
Motivation: Financial Gain (Extortion)Reputational DamageOperational Disruption (via data leaks)
Common Attack Types: The most common types of attacks the company has faced is Breach.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Exposed credentials in cloud repositoriesInsider access (crowdsourced)Third-party vendor compromises (e.g. and Vectorform).

Data Compromised: Customer names, Contact details, Service usage information
Systems Affected: Order Information Distribution SystemAnother Network Device

Data Compromised: Customer names, Contacts, Phone numbers, Email addresses, Information about service usage

Data Compromised: Operational data, Shipment data, High-value corporate data (potentially pii)
Systems Affected: Transportation Management Systems (TMS)Warehouse Management Systems (WMS)EDI linksCloud repositories (AWS, Bitbucket, GitHub)Email systems (Microsoft 365, Google Drive)
Downtime: None (no encryption or operational disruption)
Operational Impact: Reputational risk from staged data leaksLegal/regulatory exposurePotential supply chain disruptions if vendor data is compromised
Brand Reputation Impact: High (public extortion threats and staged leaks)Loss of trust in supply chain integrity
Legal Liabilities: Potential GDPR/CCPA violations if PII is exposedContractual breaches with third-party vendors
Identity Theft Risk: Possible (if PII is exfiltrated)
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Customer Names, Contact Details, Service Usage Information, , Customer Names, Contacts, Phone Numbers, Email Addresses, Information About Service Usage, , Operational Data, Shipment Data, Source Code (Potential), Corporate Emails, Potentially Pii and .

Entity Name: NTT Communications Corporation
Entity Type: Corporation
Industry: Telecommunications
Customers Affected: 18000

Entity Name: NTT Communications
Entity Type: Telecom Service Provider
Industry: Telecommunications
Location: Japan
Customers Affected: 18,000

Entity Name: NTT Data
Entity Type: IT Services
Industry: Technology
Location: Japan (global operations)
Size: Large enterprise

Entity Name: Vectorform (subsidiary of NTT Data)
Entity Type: IT Services/Software Development
Industry: Technology
Location: United States

Entity Name: Unnamed transportation/logistics companies (multiple continents)
Entity Type: 3PL Providers, Carriers, Brokers, Customs Agents
Industry: Transportation and Logistics
Location: Global

Containment Measures: Disconnection of Compromised Devices
Communication Strategy: Public Website Announcement

Containment Measures: Enforce least-privilege access for TMS/WMS/EDI systemsDisable legacy email protocols (IMAP/POP3)Implement phishing-resistant MFA
Remediation Measures: Deploy Data Loss Prevention (DLP) for Microsoft 365/Google Drive/emailMonitor/block mass downloads via service accountsConfigure alerts for mailbox forwarding rules and bulk compressionEnhance EDR coverage for admin/remote hosts
Network Segmentation: ['Recommended to limit lateral movement']
Enhanced Monitoring: Behavioral analytics for anomaliesOAuth grant monitoring

Type of Data Compromised: Customer names, Contact details, Service usage information
Number of Records Exposed: 18000
Personally Identifiable Information: Customer NamesContact Details

Type of Data Compromised: Customer names, Contacts, Phone numbers, Email addresses, Information about service usage
Number of Records Exposed: 18,000

Type of Data Compromised: Operational data, Shipment data, Source code (potential), Corporate emails, Potentially pii
Sensitivity of Data: High (operational integrity, supply chain data)
Data Exfiltration: Confirmed (staged leaks)Mass downloads via cloud/email
Data Encryption: None (leak-only model)
File Types Exposed: ZIP archives (bulk compression)EmailsDatabase exportsSource code
Personally Identifiable Information: Possible (not confirmed)
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Deploy Data Loss Prevention (DLP) for Microsoft 365/Google Drive/email, Monitor/block mass downloads via service accounts, Configure alerts for mailbox forwarding rules and bulk compression, Enhance EDR coverage for admin/remote hosts, .
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by disconnection of compromised devices, , enforce least-privilege access for tms/wms/edi systems, disable legacy email protocols (imap/pop3), implement phishing-resistant mfa and .

Ransomware Strain: N/A (leak-only, no encryption)
Data Encryption: None
Data Exfiltration: Primary tactic

Regulations Violated: Potential GDPR (if EU data exposed), CCPA (if California residents affected), Industry-specific data protection laws,

Lessons Learned: Leak-only extortion models bypass traditional ransomware defenses (no encryption = no operational disruption but high reputational risk)., Third-party vendors (e.g., Vectorform) can serve as attack vectors for larger targets (e.g., NTT Data)., Insider threats are actively crowdsourced by groups like Coinbase Cartel., Complex supply chains (transportation/logistics) create expansive attack surfaces.

Recommendations: Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.
Key Lessons Learned: The key lessons learned from past incidents are Leak-only extortion models bypass traditional ransomware defenses (no encryption = no operational disruption but high reputational risk).,Third-party vendors (e.g., Vectorform) can serve as attack vectors for larger targets (e.g., NTT Data).,Insider threats are actively crowdsourced by groups like Coinbase Cartel.,Complex supply chains (transportation/logistics) create expansive attack surfaces.

Source: Media investigation (unnamed)

Source: Coinbase Cartel darknet leak site

Source: NTT Data public statement (denial of confirmed breach)
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Media investigation (unnamed), and Source: Coinbase Cartel darknet leak site, and Source: NTT Data public statement (denial of confirmed breach).

Investigation Status: Ongoing (group active as of latest reports)
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Public Website Announcement.

Entry Point: Exposed Credentials In Cloud Repositories, Insider Access (Crowdsourced), Third-Party Vendor Compromises (E.G., Vectorform),
High Value Targets: Tms/Wms/Edi Systems, Supply Chain Data, Corporate Emails,
Data Sold on Dark Web: Tms/Wms/Edi Systems, Supply Chain Data, Corporate Emails,

Root Causes: Poor Credential Management (Hard-Coded/Exposed Credentials In Repositories)., Lack Of Segmentation Between Subsidiaries (E.G., Vectorform → Ntt Data)., Insufficient Monitoring For Data Exfiltration (No Dlp/Behavioral Alerts)., Over-Reliance On Third-Party Vendors With Weak Security Postures.,
Corrective Actions: Mandate Mfa And Least-Privilege Access For All Systems., Isolate High-Value Systems (Tms/Wms) From Third-Party Networks., Deploy Dlp And Edr With Behavioral Analytics For Exfiltration Detection., Audit Cloud Repositories For Exposed Credentials.,
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Behavioral Analytics For Anomalies, Oauth Grant Monitoring, .
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Mandate Mfa And Least-Privilege Access For All Systems., Isolate High-Value Systems (Tms/Wms) From Third-Party Networks., Deploy Dlp And Edr With Behavioral Analytics For Exfiltration Detection., Audit Cloud Repositories For Exposed Credentials., .
Last Attacking Group: The attacking group in the last incident were an Unknown Hackers and Coinbase Cartel.
Most Recent Incident Detected: The most recent incident detected was on 2023-02-05.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2023-09-15.
Most Recent Incident Resolved: The most recent incident resolved was on 2023-02-15.
Most Significant Data Compromised: The most significant data compromised in an incident were Customer Names, Contact Details, Service Usage Information, , customer names, contacts, phone numbers, email addresses, information about service usage, , Operational data, Shipment data, High-value corporate data (potentially PII) and .
Most Significant System Affected: The most significant system affected in an incident were Order Information Distribution SystemAnother Network Device and Transportation Management Systems (TMS)Warehouse Management Systems (WMS)EDI linksCloud repositories (AWS, Bitbucket, GitHub)Email systems (Microsoft 365, Google Drive).
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Disconnection of Compromised Devices and Enforce least-privilege access for TMS/WMS/EDI systemsDisable legacy email protocols (IMAP/POP3)Implement phishing-resistant MFA.
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were High-value corporate data (potentially PII), customer names, phone numbers, Shipment data, contacts, Operational data, Customer Names, email addresses, Service Usage Information, information about service usage and Contact Details.
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 18.2K.
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Complex supply chains (transportation/logistics) create expansive attack surfaces.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements). and Implement DLP controls to prevent mass data exfiltration via email/cloud services..
Most Recent Source: The most recent source of information about an incident are NTT Data public statement (denial of confirmed breach), Coinbase Cartel darknet leak site and Media investigation (unnamed).
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (group active as of latest reports).
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