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Analyze » IBM » IBM1785321873

Incident Score: Analysis & Impact (IBM1785321873)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-83
Company Score Before Incident571 / 1000
Company Score After Incident488 / 1000
Company LinkView IBM Profile
INCIDENT NUMBERIBM1785321873
Type of Cyber IncidentBreach
ATTACK VECTORAI-enabled attacks
DATA EXPOSEDNA
INCIDENT DATE30/06/2026
STATUSpublished

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 IBM1785321873.

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 571 and after the incident was 488 with a difference of -83 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, "AI-Enabled Breaches Surge, Costing Companies $6 Million on Average", has drawn attention.

A new study from IBM reveals that one in four malicious data breaches in 2025 were AI-enabled, marking a 56% increase from the previous year.

The disruption is felt across the environment, affecting AI models or applications, plus an estimated financial loss of $6 million per incident.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating breaches targeting AI models or applications and Phishing: Spearphishing Attachment (T1566.001) with moderate confidence (50%), supported by evidence indicating aI-enabled attacks enhance attack sophistication. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating aI-enabled attacks...enhance attack sophistication, speed. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating aI-enabled attacks...enhance...evasion tactics and Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating aI-driven attacks becoming increasingly automated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating one in four malicious data breaches...$6 million per incident. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate confidence (50%), supported by evidence indicating aI-enabled breaches...threatening the organizations existence and Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating aI-driven attacks enhance attack sophistication. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Phishing: Spearphishing Attachment (50%)
Execution
Command and Scripting Interpreter (70%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)
Masquerading (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Endpoint Denial of Service (50%)
Data Encrypted for Impact (40%)

Sources & References