IBM and Palo Alto Networks Launch AI Security Framework

IBM Consulting and Palo Alto Networks introduced an integrated six-layer Enterprise AI Security Policy Framework designed to secure the transition from AI copilots to autonomous agents. The companies presented the framework during a webinar titled "6 Layers Standing Between Your Enterprise and AI Risk," highlighting that traditional security controls are inadequate for environments where AI agents can make independent decisions and spawn additional agents beyond current visibility.

The framework addresses critical enforcement gaps, including shadow AI and unmanaged agent identities. It spans six key areas: identity and agentic trust, information safeguards, model and supply chain security, agent SOC operations, regulatory compliance, and AI governance.

To translate these policies into runtime controls, the framework is operationalized through Palo Alto Networks' Prisma AIRS and Cortex agent-aware SOC operations. This approach aims to transform AI governance from a static compliance exercise into a functional operational capability, providing an enforcement roadmap that protects businesses while accelerating the adoption of secure enterprise AI.