Control Plane Sovereignty: Why Your AI Stack Probably Isn't Sovereign

Your AI data is on-premises. The model runs on your hardware. You call it sovereign. Then ask: who decides which model handles a sensitive request? Where does the guardrail logic execute? Where does the telemetry from that inference request go? For most enterprise AI deployments, the honest answers are: a vendor orchestration layer, a hosted SaaS policy engine, and an observability pipeline running in a cloud region you did not choose. The data never left the boundary. The runtime authority never entered it.