AI agents are beginning to operate inside critical business workflows, making decisions, taking actions, and interacting with enterprise systems with increasing autonomy. But the infrastructure enterprises rely on was never designed for systems that reason and act on their own. As a result, many organizations are deploying agents without clear oversight for how they behave, what decisions they make, or how policy and governance should be applied. Risk surfaces only after something goes wrong, and compliance teams lack the visibility required to confidently scale adoption. The next phase of enterprise AI requires a new system of trust: a control plane for agentic systems. This session explores why leading organizations are establishing an AI control plane as that system of record. It combines telemetry and monitoring for agent behavior, enables auditable governance, and enforces policy-based guardrails that ensure autonomous systems will operate safely, reliably, and in line with enterprise standards.