Post by SentinelOne

Three weeks. Three tier-1 supply chain attacks. SentinelOne stopped all three from the moment they were observed in the wild — with no prior knowledge of any payload. LiteLLM. Axios. CPU-Z. Different vectors. Different threat actors. Different techniques. One thing in common: every attack arrived this spring through a channel your stack explicitly trusts. That's not a coincidence. It's the playbook in 2026. AI agents don't pause for human review. They execute at the speed of an API call — auto-installing, auto-updating, moving faster than any human review cycle can close the window. When authorization runs automatically, so does the exposure. Legacy defenses check identity. They don't check intent. These attacks were built for exactly that gap. SentinelOne's Autonomous Security Intelligence (ASI) flagged the execution pattern, not a known signature and acted: ⚡ LiteLLM: 424 malicious events terminated in under 44 seconds ⚡ Axios: detected 89 seconds after the malicious package went live ⚡ CPU-Z: full attack chain terminated mid-execution during a 19-hour distribution window The CPU-Z attackers deployed three separate persistence mechanisms specifically because partial cleanup leaves the payload operational. By the time a human analyst approves the kill, that window may already be closed against you. The question every security leader needs to answer: could your solution have stopped all three autonomously, from the moment they were observed in the wild, with no prior knowledge of any payload? If the answer depends on a signature update or a manual step — that's your answer. Read the full breakdown: https://lnkd.in/gqm2fkxE