The Agentic Control Plane: Engineering Governance For The Autonomous Enterprise
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InnovationThe Agentic Control Plane: Engineering Governance For The Autonomous EnterpriseByJim Tunnessen,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 12, 2026, 08:15am EDTJim Tunnessen, CIO & Chief AI Officer at National Endowment for the Arts, 2x Federal CIO, & AI/ML D. Founder of Gradient Descent LLC. gettyThe technology is the easy part. Governance is where you win or fail.The era of the generalist LLM is ending. In 2022, every boardroom asked, "What can this chatbot do?" By 2025, the question had matured: "How do we govern what these agents are doing autonomously, at scale, or across systems we don’t fully control?" That shift is everything.We are now operating in the era of multi-agent systems, architectures where specialized AI entities execute tasks spanning procurement, compliance, legal review and financial modeling, often without a human in the decision loop. The technology is the easy part. Governance is where you win or fail.For the modern CIO and CAIO, the goal is no longer simply to deploy AI. It’s to build a control plane, a management layer that enforces identity, maintains state and ensures systemic reliability at the speed of software. Here’s how I think about that in four operational layers.Layer 1: Identity—The Agent Creation CertificateConsider a “financial analyst agent” requesting access to a secured procurement database. Who authorized it? What version is it running? Has its system prompt been tampered with?Role-based access control alone is dangerously insufficient in a multi-agent environment. An agent isn’t a human with a badge number; it’s a probabilistic system whose behavior is a function of its model weights, instructions, tool permissions and in-context memory, any of which can change.The solution is a zero-trust identity model. Every agent must carry a...





