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TrustinTechRaleigh, NC • AI Agency
AI Security8 min readUpdated 2026-03-18

Securing Enterprise RAG: RBAC, Zero-Data-Retention, and Privacy Safeguards

How to implement tenant-isolated vector stores, document-level role-based access control, and zero-data-retention API pipelines.

S
Sudeep K.
Lead AI Engineer • Raleigh, NC

Enterprise document search must respect internal permission hierarchies. An employee in Marketing should never retrieve restricted HR salary documents or confidential board minutes via an AI chat prompt.

Security Controls for RAG

  1. **Document Level Access Control (RBAC)**: Ingesting ACL metadata alongside document embeddings to filter vector queries by user role.
  2. **Zero Data Retention Endpoints**: Using enterprise API contracts that guarantee model providers never log or train on client inputs.
  3. **Encrypted Storage at Rest & Transit**: TLS 1.3 encryption in transit and AES-256 for vector indexes and document vaults.
Tags:#Data Privacy#RAG Security#RBAC#Enterprise AI
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