The original title is "Why Enterprise AI Governance Should Start at the Access Path"

Short summary

The article argues enterprise AI governance should be operationalized at the access path — the point where requests reach AI models — rather than remaining abstract policy documents. It proposes a governance layer with prompt inspection, sensitive-data detection, approved-model routing, and audit logging, separated into a Control Plane (policies, routing, admin) and Data Plane (prompt handling, masking, telemetry). This architecture ensures who/what/which-model/what-data questions are answerable for every AI interaction.

• •AI governance must be enforced at the access path where requests hit models, not just in policy documents
• •Proposes a Control Plane/Data Plane separation for policy management vs. prompt handling and telemetry
• •Key governance questions: who sent the request, what data, which model, was sensitive data masked, is there audit evidence

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