How to Enforce Per-User Access Control in Amazon Bedrock Knowledge Base Tools

At a glance

AWS explained how to keep AI agents from searching company documents a logged-in employee cannot see. The same agent can be shared by many employees while each one only sees their own permitted files.

Key points

1. 1

   If the AI model chooses whose permissions a search uses, documents from other employees can leak.

2. 2

   So the design lets trusted code decide the user's identity, based on what the login system has verified.

3. 3

   Extra checks at both the tool gateway and the knowledge base add backup layers of protection.

4. 4

   In the example, staff from departments A and B use the same agent but each sees only the documents they are allowed to view.

Why it matters

In AI services where many employees or customers share internal data, preventing documents from leaking is essential.