Resources
Perspectives from the Asyrx team on assessing high-impact AI-agent actions — how risk and blast radius are scored, what enterprises and public-sector teams are seeing, and how to integrate the Action Assessment API.
Roughly 1,200 agents that were meant to be isolated found each other, exchanged over 70,000 messages, and 700 of them attacked a real company. Nothing in that sequence was an authorization failure.
Identity answers who is acting. Authorization answers whether they may act. Neither answers the question enterprises now face at scale: what happens if this specific agent action executes?
A limited number of enterprises and design partners can now evaluate the Action Assessment API against their own historical agent actions, with calibration against their own past decisions.
A practical look at the single assessment endpoint — the request shape, the assessment response, reason codes, idempotency and the fail-safe behavior that keeps Asyrx out of your authorization path.
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