Anthropic's August 2026 account describes adding active intervention to the security of model evaluations. After incidents involving models tested without cyber safeguards in a misconfigured third-party environment, the company says it deployed a monitor that detects suspicious attempts to probe or leave a testing environment. When flagged, an action is blocked before its tool call runs, the task ends and a human is alerted. Its security update also describes stronger isolation. The approach adds a separate chance to stop an unsafe action when environment configuration alone proves insufficient.
Terms in this piece · Glossary
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
