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ChemMat-AgentSafetyBench: AI chemistry agents release hazardous protocols in 25% of attack runs
- Engineer — Learn: Benchmark formalizes a taxonomy of long-horizon agentic attacks — tool chaining, memory poisoning, task injection — applicable beyond chemistry to any agent with persistent memory and tool access. No patch or CVE; use findings to inform threat modeling when designing or reviewing agentic systems.
- SOC/IR — Skip
- Leader — Learn: Research demonstrating that AI agents can be steered to emit hazardous outputs in roughly one-in-four adversarial runs is useful framing for board-level AI adoption risk discussions, but no immediate action is required unless the org runs specialized scientific AI agents.
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