Agent safety needs an incident vocabulary and shared evidence, not only better private evaluations.
Technology and security organizations are discussing a shared way to report AI-agent failures, including cases where systems exceed permissions, escape testing boundaries or cause effects outside the intended environment.
Cybersecurity matured partly because defenders developed common categories for vulnerabilities and incidents. Agent failures currently lack that consistency: one lab may call an event misalignment, another a sandbox escape, and a third an authorization bug, even when the underlying sequence is similar.
A useful standard would need more than a severity label. It should record the model, tools, permissions, trajectory, human approvals and actual impact while protecting sensitive infrastructure details. Shared reporting cannot prevent every failure, but it can stop the industry from repeatedly learning the same lesson in private.
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