METR experienced two security incidents in early 2026, involving the theft of an API key for public model inference and an attempt to access internal data through an exposed endpoint. While no sensitive information is believed to have been accessed, METR has increased its security investments in response to these near-misses. The organization categorizes its data by sensitivity and has implemented controls to protect confidential information and model access credentials. AI
IMPACT Highlights the ongoing security challenges in managing AI model access and infrastructure, even for organizations focused on evaluation.
RANK_REASON Security incident report from a non-frontier AI lab.
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