AWS Shows How to Stop a Hijacked AI Agent From Reading Data the User Cannot Access

AWS Shows How to Stop a Hijacked AI Agent From Reading Data the User Cannot Access

Enterprises are racing to deploy AI agents that pull from databases, document repositories, SaaS platforms, and internal knowledge bases to automate workflows. But a quiet risk lurks beneath the convenience: most agents have no built-in awareness of who is actually asking the question, which means a compromised or manipulated agent could hand over data the requesting user was never authorized to see. AWS has now published a detailed architecture…

AWS limits AI agents’ data access, even when manipulated

AWS has detailed an approach for propagating user authorization context through AI agents, allowing access controls to be enforced by infrastructure and downstream services rather than relying on the agent itself. Customers using Amazon Bedrock AgentCore can build AI agents that pull information from Amazon DynamoDB tables, document repositories, SaaS platforms, and internal knowledge bases to answer questions and automate workflows. Without awa…