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AI Agent Benchmarks Need Sandboxes, Not Live Websites
Anthropic’s report on unintended agent actions shows why live-web benchmarks need containment, separate boundary scores and safer test environments.
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Anthropic’s report on unintended agent actions shows why live-web benchmarks need containment, separate boundary scores and safer test environments.

Anthropic’s embedded-evaluator model and the renewed Canada–UK AI security partnership point to the same lesson: access without publication rights is not independent oversight.