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AI is transforming how organisations create value, from assistants that enhance individual productivity to autonomous systems that reshape entire business processes. But as AI spreads across systems, applications, and third-party solutions, organisations can struggle to see where it's being used, what data it can access, what actions it can take, and who is accountable.
Our new whitepaper introduces the AI security control plane: a unified set of controls that wraps the AI platform to enable trusted, secure outcomes. It extends existing security, governance, and zero trust capabilities across AI development, deployment, operations, and lifecycle management. Its six layers cover AI security posture, threat management, platform security, data and model security, agent identity and access, and runtime security.
This isn't a single product or static blueprint. It's a dynamic, modular architecture that adapts to an organisation’s AI maturity, technology environment, and regulatory context. Making it work also requires a shared operating model, common telemetry, and clear decision rights across the C-suite and business functions.
For organisations using Microsoft, the paper shows how Microsoft 365 E7 can bring identity, security, data protection, and AI governance closer together. The aim is to maintain visibility, control, and accountability so AI can scale with confidence. Download the whitepaper to explore the risks, architecture, and operating model for secure and responsible agentic AI.
"Trust is what lets organisations move faster with AI. When you can see every agent, govern what it can access, and switch it off in seconds if something goes wrong, AI stops being a risk you manage and becomes an advantage you can scale."
Narayan Kumar Gupta, AI Security Architect and Global Microsoft Security Association Lead, PwC IrelandThe AI security control plane: Building trust in the age of AI
Download the playbook to build the foundations for confident, secure AI adoption.
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