AWS publishes nine-stage AgentCore evaluation framework to catch silent agent regressions

AWS argues that traditional monitoring misses "silent" quality drift in autonomous agents, because latency and error rates can look healthy while answers get worse.

The framework layers evaluation across nine stages, from development through post-deployment.

It pairs with Swami Sivasubramanian's "Trust in Depth" post. That approach uses automated reasoning to prove an agent's boundaries hold, the same math AWS has used for a decade behind IAM and S3 Block Public Access.