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AWS

Enforcing ACL‑Aware Knowledge Base Access via Bedrock AgentCore Gateway

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The pattern now injects verified user attributes at the AgentCore Gateway layer to drive ACL‑aware searches in Amazon Bedrock Managed Knowledge Base. This change gives engineers a reliable way to restrict document retrieval per user without relying on LLM‑generated arguments.

Amazon Bedrock Managed Knowledge Base now supports fine‑grained, ACL‑aware retrieval when the search request includes a userContext containing the caller’s email. By moving the insertion of that email from the LLM‑generated tool call to a trusted Lambda interceptor in the AgentCore Gateway, the architecture guarantees that the search scope matches the authenticated user.

Solution Overview

The core idea is to separate identity verification from the LLM’s tool selection. A Cognito‑issued JWT carries an email claim added by a pre‑token Lambda trigger. The AgentCore Gateway validates the token, then a request interceptor overwrites the userContext argument of the tools/call request with the verified email. The Managed Knowledge Base, which is ACL‑aware, uses that email to filter results to documents the user is permitted to see.

Implementation Steps

  1. Configure Amazon Cognito to issue JWTs for your users. Add a pre‑token Lambda trigger that injects the user’s email address into the token as the email claim.
  2. Deploy an AgentCore Gateway with a JWT authorizer that checks the token’s signature, expiration, and client identifier.
  3. Attach a Lambda request interceptor to the gateway. The interceptor extracts the email claim from the validated token and overwrites the userContext field of any incoming tools/call request.
  4. Ensure the Managed Knowledge Base is configured for ACL awareness. The service will automatically limit returned documents based on the userId value supplied in userContext.
  5. Optionally, define a Cedar policy in AgentCore that validates the modified request before it reaches the knowledge base, providing an additional defense layer.

Operational and Security Considerations

Because the LLM no longer decides the userContext, the primary trust anchor becomes the JWT authorizer and the interceptor. Practitioners should monitor the Lambda interceptor for errors that could leave the original user‑supplied value untouched. Logging the overridden value helps detect unexpected behavior.

ACL awareness in the knowledge base is a data‑level filter, not a substitute for broader access‑control policies. It should be combined with any existing organizational policies that govern who can invoke the agent.

Deploying the interceptor as a separate Lambda function isolates the code that manipulates request payloads, simplifying updates and reducing blast radius if a bug is discovered. Ensure the Lambda execution role follows the principle of least privilege, granting only the permissions needed to read the JWT claims and modify the request payload.

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What This Means For Practitioners

By moving user identity injection to a trusted gateway layer, engineers can rely on Managed Knowledge Base ACLs to enforce per‑user document visibility without exposing the LLM to prompt‑injection risks. The pattern introduces a clear, auditable point of control, simplifies testing, and adds a policy‑driven safety net. Teams should adopt the interceptor, verify logging, and treat the ACL filter as part of a defense‑in‑depth strategy rather than the sole authorization mechanism.

Originally published atAWS Machine Learning Blog