Amazon Quick adds real-time ACL enforcement to Bedrock knowledge bases
Amazon announced that its Quick service and Bedrock Knowledge Bases now enforce access‑control lists (ACLs) in real time when answering Retrieval‑Augmented Generation (RAG) queries. The architecture uses a two‑stage retrieval flow: first a semantic pre‑retrieval filter applies cached ACL attributes stored in the vector index, then each candidate document is verified at query time by calling the…
Key points
- Amazon Quick and Bedrock Knowledge Bases now enforce ACLs in real time at query time
- Two‑stage retrieval: cached ACL filtering followed by live verification via source APIs such as Google Drive, SharePoint, Confluence
- Mondelēz International deployed the solution for over 35,000 employees, citing stronger security and lower operational overhead
The post highlights a Mondelēz International deployment covering more than 35,000 employees across four regions. By eliminating reliance on periodic sync jobs, the solution removes security gaps that can appear when permissions change, and it reduces the operational burden of managing sync frequency. Amazon Bedrock also adds guardrails, grounding checks and configurable safety policies to help organizations govern generative AI use. The blog invites readers to try Amazon Quick and Bedrock Knowledge Bases for their own enterprise AI workloads.
Rethinking access control for RAG with Amazon Quick and Amazon Bedrock
AWS Machine Learning Blog · 7 October 2026
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