Architecture / AIGIS resources
Enterprise AI governance cannot live only in policy documents. It has to sit in the execution path between users, systems of record, and the model.
Executive read
Governance must happen before prompt construction, not only after model output.
Record access must be live because record visibility can change minute by minute.
Field permissions can be cached for speed, but inaccessible fields should be stripped before the LLM receives context.
Every governed answer should carry provenance that explains which systems and permissions were involved.
Analysis
If AI governance is only a review process, a spreadsheet, or a policy portal, it cannot stop a model from seeing data it should not see. Runtime governance has to intercept the request.
AIGIS sits between the user interface and the enterprise systems. It classifies intent, routes to systems, resolves identity, enforces permissions, strips fields, and only then constructs the LLM context.
Object permissions answer whether the user can access a kind of record. Field permissions answer which attributes can be included. Record permissions answer whether this specific user can see this specific record right now.
AIGIS treats all three as required. If one tier fails or cannot be verified, the data does not enter the model context.
Vendor-specific AI can feel simpler at first because it is already embedded in one application. The problem appears when every vendor sells a separate assistant with a separate bill, data boundary, model strategy, and audit trail.
Governance middleware gives the enterprise one enforcement path across systems, while preserving each system's native security model.
Keep reading
Architecture
Why LLM field-level security should remove inaccessible fields before prompt construction instead of sending masked placeholders to the model.
Architecture
AIGIS records which systems were queried, which identities were used, which permissions were checked, and which fields were included or stripped.
Architecture
Safe AI writes require explicit approval plus a fresh permission check at confirmation time, not only when the AI drafts the proposal.