Use Case
Permission-aware
retrieval.
Every query carries identity. Every retrieval is filtered against organizational access boundaries — before any context reaches the model.
RAG is not enough
Retrieval-augmented generation is now standard. Permission-aware retrieval is not — and that gap is where most enterprise AI deployments quietly leak context across teams, tenants, and trust boundaries.
How it works in ZentraOS
- Identity is required on every query.
- Access boundaries are evaluated server-side.
- Results are filtered before being returned to the agent or user.
- Every retrieval is auditable.
Common questions
Why does retrieval need permissions?
- Without identity-scoped retrieval, AI systems quietly leak organizational context across teams, tenants, or trust boundaries. RAG without permissions is a privacy and compliance liability.
Where are permissions evaluated?
- In the runtime, before any content is returned. The model never sees content the asking identity is not allowed to see.
Can existing identity systems be used?
- Yes. ZentraOS is designed to integrate with existing identity providers and organizational role models.
Is access auditable?
- Yes. Every retrieval is logged with identity, scope, and result — the basis for review, compliance, and incident response.