newsAWS Machine LearningTrust 88 · LabPublished 1mo agoLive · 1mo ago
Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS
In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. We demonstrate how each layer operates independently to reduce the risk of cross-tenant data exposure, even when the LLM itself is compromised or manipulated.
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- LinkedLinked via unknownMESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems →
- PossiblePossibly related (embedding) · 47%beyefendi/awesome-llm-security →
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- PossiblePossibly related (embedding) · 46%cloakllm/CloakLLM →
- PossiblePossibly related (embedding) · 46%A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs →
