AWS adds real-time permission checks to RAG in Amazon Quick and Bedrock Knowledge Bases
In short: AWS describes a new two-stage access control architecture for Retrieval Augmented Generation (RAG) in Amazon Quick and Amazon Bedrock Knowledge Bases. Instead of relying only on periodically synced access control lists (ACLs), the system now verifies permissions in real time against the authoritative data source (e.g. Google Drive, SharePoint, Confluence) at query time, before passing content to the LLM. AWS says this closes security gaps caused by stale or incorrectly mapped permissions between sync cycles. Mondelēz International, with over 35,000 employees, is cited as a customer using this approach.
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What changed?
- 1Stage 1: pre-retrieval semantic search uses cached ACLs stored in the vector index to produce candidate documents
- 2Stage 2: real-time verification calls the source system's API (e.g. Google Drive) using admin-provided credentials to confirm current user access before passing content to the LLM
- 3Documents the user isn't authorized for are excluded even if they appear in the cached index
- 4Works alongside Amazon Bedrock Guardrails for content filtering and grounding checks
Why it matters
Enterprise RAG and knowledge-base agents often rely on synced permission snapshots that can be hours or days stale, risking exposure of revoked or restricted content in AI answers; real-time verification removes that gap without requiring full real-time API calls on every document.
What it means for AI agents and contact centers
If agents or voice assistants pull context from shared company knowledge sources (SharePoint, Drive, Confluence, CRM documents) to answer calls or support agents, this architecture pattern is worth evaluating to make sure revoked access is respected immediately rather than after the next sync.
🧪 Worth Testing
The pattern is directly applicable to any knowledge-base-backed agent that needs to guarantee answers only use documents the requesting user is currently authorized to see.
Real-time ACL enforcement for RAG (Amazon Quick / Bedrock Knowledge Bases)· New
Sources
- AWS Machine LearningOfficialPrimary sourceOriginal article →„Rethinking access control for RAG with Amazon Quick and Amazon Bedrock“7 Oct 2026, 21:34
- Published by source
- 7 Oct 2026, 21:34
- Found by our system
- 7 Oct 2026, 21:36
- Summary generated
- 7 Oct 2026, 21:39
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy