Incident Score: Analysis & Impact (AMAUSE1778092688)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Braintrust'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 Braintrust 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 Braintrust breach identified under incident ID AMAUSE1778092688.
The analysis begins with a detailed overview of Braintrust's information like the linkedin page: https://www.linkedin.com/company/usebraintrust, the number of followers: 975670, the industry type: Technology, Information and Internet and the number of employees: 354 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 781 and after the incident was 715 with a difference of -66 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 Braintrust and their customers.
Braintrust recently reported "Braintrust Urges API Key Rotation After AWS Cloud Breach Exposes Customer Secrets", a noteworthy cybersecurity incident.
AI evaluation startup Braintrust has instructed customers to revoke and replace their API keys following unauthorized access to an Amazon Web Services (AWS) cloud account containing sensitive credentials.
The disruption is felt across the environment, affecting AWS cloud account, and exposing API keys used to access cloud-based AI models.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Locked down the compromised account, audited related systems, rotated internal secrets, and began remediation that includes Advised customers to rotate API keys, and stakeholders are being briefed through Email to customers, statement on website, statement to TechCrunch.
The case underscores how Ongoing, and recommending next steps like Rotate API keys as a precautionary measure, with advisories going out to stakeholders covering Customers advised to rotate API keys.
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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating unauthorized access to an Amazon Web Services (AWS) cloud account and Cloud Service Discovery (T1526) with moderate to high confidence (70%), supported by evidence indicating aWS cloud account storing API keys used to access cloud-based AI models. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating aPI keys used to access cloud-based AI models were exposed and Cloud Instance Metadata API (T1552.005) with moderate confidence (60%), supported by evidence indicating aWS cloud account containing sensitive credentials was compromised. Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (80%), supported by evidence indicating aPI keys could allow attackers to impersonate legitimate users. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating aWS cloud account breach exposed sensitive credentials. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (80%), supported by evidence indicating aPI keys could be used to access systems without direct infiltration. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating compromised API keys could allow access to cloud-based AI models. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Braintrust Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/usebraintrust/incident/AMAUSE1778092688
- Braintrust CyberSecurity Rating page: https://www.rankiteo.com/company/usebraintrust
- Braintrust Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/amause1778092688-amazon-web-services-braintrust-breach-may-2026/
- Braintrust CyberSecurity Score History: https://www.rankiteo.com/company/usebraintrust/history
- Braintrust CyberSecurity Incident Source: https://techcrunch.com/2026/05/06/ai-evaluation-startup-braintrust-confirms-breach-tells-every-customer-to-rotate-sensitive-keys/
- 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