Skip to content

How SentinelOne’s AI EDR Autonomously Discovered and Stopped Anthropic’s Claude from Executing a Zero Day Supply Chain Attack, Globally

0.6278
Chimera Difficulty Score
a synthesis of Flesch-Kincaid, Coleman-Liau, SMOG, and Dale-Chall readability metrics
On March 24, 2026, SentinelOne’s autonomous detection caught what manual workflows never could have: a trojaned version of LiteLLM, one of the most widely used proxy layers for LLM API calls, executing malicious Python across multiple customer environments. The package had been compromised hours earlier. No analyst wrote a query. No SOC team triaged an alert. The Singularity Platform identified an...
This incident underscores the need for robust, AI-powered cybersecurity solutions that can detect and respond to sophisticated attacks in real time. By compromising both a security tool and an AI package, the attackers aimed to evade manual workflows at every turn, demonstrating a pattern of using multi-stage, multi-surface tactics to achieve their goals. The incident also highlights the importance of closed-loop cybersecurity systems that can adapt to new threats as they emerge. Patterns detect...