The AI security control plane

The takeaways

• AI is spreading across applications, platforms, copilots, and autonomous agents, creating new visibility, security, identity, and governance challenges for leaders.
• Traditional security and governance frameworks were not built for distributed, AI systems and AI agents operating across multiple business processes. Leaders need stronger control without slowing adoption or compromising accountability.
• An AI security control plane creates the architectural foundation for visibility, control, and accountability, helping organisations manage risk and scale AI with confidence.

AI is becoming embedded across the enterprise, from productivity assistants to AI agents that can automate tasks and support decision-making within defined human and organisational controls. As adoption accelerates, organisations face a harder challenge: maintaining visibility, governance, and control across a growing ecosystem of models, applications, agents, and data.

Scaling AI successfully takes more than deploying new technology. It requires the security, governance, and operating foundations needed to innovate with confidence.

This is exactly the challenge a security control plane is designed to address. By unifying visibility, identity, and policy enforcement across every model, application, and agent, it gives leaders a single, consistent way to manage risk—without slowing innovation. Drawing on PwC's cybersecurity and governance expertise alongside the capabilities of Microsoft platforms, organisations can put the right controls in place to deploy AI securely and at scale.

Set out a pathway for secure and responsible agentic AI deployments with PwC and Microsoft.