Incident Score: Analysis & Impact (PONIBM1785738483)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of IBM's Breach and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts IBM Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the IBM breach identified under incident ID PONIBM1785738483.
The analysis begins with a detailed overview of IBM's information like the linkedin page: https://www.linkedin.com/company/ibm, the number of followers: 19659540, the industry type: IT Services and IT Consulting and the number of employees: 336062 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 708 and after the incident was 654 with a difference of -54 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on IBM and their customers.
A newly reported cybersecurity incident, "India’s Data Breach Costs Hit Record High as AI Reshapes Cyber Threats", has drawn attention.
India’s cybersecurity landscape faced escalating challenges in 2026, with the average cost of a data breach surging to INR 255 million (₹25.5 crore), a 15.9% increase from 2025.
The disruption is felt across the environment, plus an estimated financial loss of INR 255 million (₹25.5 crore) average cost per breach.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as AI-driven threats are rising, but strategic automation and governance can mitigate costs and improve resilience. Organizations need end-to-end AI integration across security operations, and recommending next steps like Enhance incident response plans (67% of organizations planning to invest), Invest in threat detection technologies (SIEM/SOAR/EDR) (51% of organizations) and Focus on AI security and governance tools (39% of organizations).
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Phishing (T1566) with high confidence (90%), supported by evidence indicating top attack vectors such as Phishing (19%), Drive-by Compromise (T1189) with moderate to high confidence (80%), supported by evidence indicating top attack vectors such as Drive-by compromise (16%), and Supply Chain Compromise (T1195) with moderate to high confidence (80%), supported by evidence indicating top attack vectors such as Supply chain attacks (15%). Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating phishing (19%) as a top attack vector implies user interaction. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating phishing often leads to credential harvesting and Adversary-in-the-Middle (T1557) with lower confidence (40%), supported by evidence indicating drive-by compromise may involve credential interception. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate confidence (60%), supported by evidence indicating supply chain attacks often enable lateral movement. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating data breach impacting financial services, tech, communications sectors. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating average cost of INR 255 million per breach implies data exfiltration. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate confidence (50%), supported by evidence indicating breaches caused financial and operational consequences and Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating aI-generated attacks may involve ransomware or encryption. Under the Defense Evasion tactic, the analysis identified Impair Defenses (T1562) with moderate confidence (60%), supported by evidence indicating shadow AI risks added INR 17.9 million to breach costs and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating phishing and supply chain attacks often lead to account misuse. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- IBM Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/ibm/incident/PONIBM1785738483
- IBM CyberSecurity Rating page: https://www.rankiteo.com/company/ibm
- IBM Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ponibm1785738483-ponemon-institute-ibm-breach-march-2025/
- IBM CyberSecurity Score History: https://www.rankiteo.com/company/ibm/history
- IBM CyberSecurity Incident Source: https://in.newsroom.ibm.com/India-Records-its-Highest-Average-Cost-of-a-Data-Breach-2026
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf