Frameworks can coordinate local reasoning loops, but they do not provide the enterprise operating model for agent identity, authorization, policy enforcement, context boundaries, and cross-system accountability.
White Paper
The Agentic Control Plane: Governing, Operating, and Scaling Agentic Systems in Production
Explore the operating layer enterprises need when AI agents move from experiments to production systems. This whitepaper defines the agentic control plane: the governance, policy, identity, authorization, observability, context, and cost-control layer required to run autonomous agents safely at scale.
Use it to align platform, security, compliance, and executive stakeholders on what must be controlled before agents can act across real business systems.
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Key data points
The numbers that define the opportunity
01
Govern agents across identity, permissions, policy, and context.
02
Operate mesh-based systems with observability and auditability.
03
Control cost, usage, and autonomy before production scale.
04
Create executive oversight for agent behavior and risk.
In this white paper
What you'll find inside
The paper maps the control-plane capabilities needed around communication governance, APIs, observability, FinOps, context governance, and policy-driven operations.
Written for CIOs, CTOs, AI governance teams, platform engineering leaders, and security stakeholders responsible for approving production agent systems.