Enterprise RAG governance for regulated retrieval

The problem

Retrieval-augmented generation is the most-demoed AI pattern in the enterprise and the most-deferred in production. The pilot looked great: a grounded answer with a citation. Then security asked who had access to the index. Legal asked about the source documents' retention obligations. Sales asked whether the customer's data was used to answer another customer's question. Nobody had clean answers. The pilot became a proof-of-concept graveyard.

Why the usual approach breaks

The default RAG stack treats the vector store as if it were a cache. It is not. It is a durable copy of the source documents, usually without the access controls those documents carried. An employee who cannot read a document in SharePoint can read it via the chatbot. A customer can retrieve fragments of another customer's data because the index has no tenant partitioning. A departing employee's PII persists in the index long after the HR system has purged it.

The usual approach solves the retrieval problem and introduces three governance problems.

How Intelligence Fabric closes the gap

Fabric enforces retrieval scoping at the platform level. Every document in the index carries its source ACL, its source tenant, its retention class, and its data classification. Every retrieval request carries the caller's identity, tenant, and access purpose. The retrieval engine computes the intersection and returns only the documents the caller is allowed to see for the purpose they claimed.

When a source system revokes access, the revocation propagates to the index. When a retention class expires, the indexed copy expires with it. When an employee leaves, their PII drops out of the index on the same cycle the HR system uses. The governance model is not bolted onto retrieval, it is retrieval.

Implementation pattern

The platform team registers each source system with its ACL model and its retention rules. The indexing pipeline attaches those metadata to every chunk. The retrieval API is authenticated, callers cannot retrieve without a verifiable identity and a declared purpose. Every retrieval is logged with the request, the returned document IDs, and the applied filters. When the privacy office runs a subject access request, the evidence trail is queryable by subject ID.

Customers running on shared infrastructure get partitioned indices. Customers requiring sovereign deployments run the whole stack inside their VPC with the same governance contracts.

Next step

An architecture review takes your current RAG pilot, maps its source systems and access-control gaps, and produces a findings document your CISO and DPO can use to sign off on production.

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