AWS implements downstream authorization for AI agents

Amazon Web Services (AWS) has introduced a method for managing data access for AI agents to prevent unauthorized information retrieval. Through Amazon Bedrock AgentCore, users can build agents that interact with various data sources, including Amazon DynamoDB, SaaS platforms, and internal knowledge bases.

To mitigate risks such as prompt injection or application bugs, AWS is shifting the responsibility of authorization from the AI agent to downstream services. In this architecture, the agent acts as an orchestrator rather than a gatekeeper. User identity and department-specific permissions are carried through authentication tokens—using providers like Amazon Cognito, Microsoft Entra ID, or Okta—ensuring that the underlying services enforce access controls based on the user’s actual credentials.

Technical documentation also highlights common configuration challenges when working with AgentCore. Specifically, errors involving 'GetPolicyEngine' often stem from missing permissions for both the policy engine and the gateway. Because gateway ARNs may not exist during the initial creation process (such as when using CloudFormation), developers are advised to use wildcards to ensure proper authorization across required resources.