AWS Agent Registry

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   AWS proposes Trust in Depth framework for agent autonomy

   An AWS Machine Learning Blog post by Shawn Bice, vice president of AI Services, introduces a framework called Trust in Depth that would let AI agents act on their own when their actions can be verified, reserving human judgment for decisions that need it. The post frames trust as four lifecycle questions — scoping the agent before it runs, knowing its identity and authorization at deployment, bounding what it says and does while running, and reconstructing what happened afterward — and maps them to AWS Agent Registry, AgentCore agent identity and policy enforcement, Amazon Bedrock Guardrails and automated reasoning checks. It argues that content filtering, testing or monitoring alone cannot promise an agent will behave correctly next time, so limits should be enforced deterministically outside the agent's reasoning to hold even when it is buggy, manipulated or hit by prompt injection.

   AWS Machine Learning Blog · 🔥 0

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