Enterprise AI is moving from pilots to production, and from copilots to autonomous agents but most security programs are still anchored in controls designed for humans and static applications. The result: shadow AI, unmanaged agent identities, ungoverned model supply chains, and a widening gap between AI policy and AI enforcement.

In this session, IBM Consulting and Palo Alto Networks introduce an integrated six-layer Enterprise AI Security Policy Framework spanning identity and agentic trust, information safeguards, model and supply chain security, agent SOC, regulatory compliance, and AI governance. Each layer is mapped to enforcement through Palo Alto Network Prisma AIRS, Cortex agent-aware SOC operations, and enterprise governance functions. Attendees will see how to translate AI security regulatory obligations into runtime controls and sequence an accelerated roadmap that protects the enterprise without slowing AI adoption.

Register for this webinar to learn:

• A six-layer Enterprise AI Security Policy Framework spanning identity and agentic trust, information safeguards, model and supply chain security, agent SOC, regulatory compliance, and AI governance with a clear view of what is automated, hybrid, and manual.
• How to operationalize the framework by mapping each security control to Palo Alto Networks solutions for runtime policy enforcement.