AWS describes an approach to access control for enterprise retrieval-augmented generation (RAG) using Amazon Quick and Amazon Bedrock Knowledge Bases. Enterprise RAG commonly pulls from knowledge sources such as SharePoint, Google Drive, and Confluence, each of which carries its own complex permission settings. The post explains how these services enforce document-level access controls in real time by verifying permissions directly with the authoritative sources at the time a query is made.
Why it matters
Connecting generative AI systems to internal knowledge sources raises the risk of exposing content that a given user should not see. Enforcing permissions at query time against the source of truth is intended to keep RAG responses aligned with existing access rights rather than relying on stale or duplicated permission data.
Who should care
Enterprises deploying RAG over internal document repositories, along with the teams responsible for data governance and security, are the primary audience for this guidance.