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AWS Machine Learning Blog
AWS Machine Learning Blog
6/29/2026
Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS

Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS

Short summary

AWS and PAR demonstrate a three-layer architecture for secure multi-tenant LLM analytics using cryptographic signing (SigV4), semantic validation (Bedrock), and programmatic data isolation (Split-Plane SQL). Each layer operates independently to prevent cross-tenant data exposure even if the LLM is compromised. Production-ready pattern for enterprises handling sensitive data.

  • Three-layer security model: request signing + semantic validation + programmatic isolation
  • Protects against cross-tenant data leakage and LLM manipulation in production
  • Applicable to any multi-tenant LLM analytics or agent system on AWS

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