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  1. Cato AI Labs

    How to secure the actual behavior of Bedrock AgentCore agents

    Cato AI Labs points out that Amazon Bedrock AgentCore's native access controls cannot prevent prompt injection; content exchanged between agents and models must be inspected at four stages: prompts, tool calls, tool responses, and outputs. AgentCore Policy uses Cedar rules to intercept tool calls that go through the Gateway, but tools that developers write directly into code do not pass through the Gateway and are therefore not inspected. Cato's Amazon Bedrock integration discovers all agents on AgentCore in a read-only manner and covers agents on AWS, Microsoft Foundry, Amazon Quick, and developer-built endpoints.

    changed between agents and models must be inspected at four stages: prompts, tool calls, tool responses, and outputs. AgentCore Policy uses Cedar rules to intercept tool calls that go through the Gateway, but tools that developers write directly into code do not pass through the Gateway and are therefore not inspected. Cato's Amazon Bedrock integration discovers all agents on AgentCore in a read-only manner and covers agents on AWS, Microsoft Foundry, Amazon Quick, and developer-built endpoints.

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