Navigating AI Security and Assurance

As AI moves into business-critical operations, organizations need to understand how agentic AI changes risk and what comprehensive AI assurance requires.

• Understand how agentic AI changes the risk equation as AI systems gain the ability to access data, call APIs, use software tools, and take actions on behalf of users or organizations.
• Explore four complementary domains of AI assurance: traditional information security governance, traditional information security, AI governance, and AI security.
• Learn why third-party risk management programs need credible evidence that vendors have addressed AI-specific threats within deployed systems.
• Examine how the next stage of adoption will increasingly depend on agentic AI systems that can access enterprise data, interact with other systems, and take actions with varying degrees of human oversight. 

According to F5’s 2025 State of AI Application Strategy Report, 96% of organizations are implementing AI models, but only 2% indicate they are “highly ready” for the challenges of their AI deployments.

Navigating AI Security and Assurance examines that gap and the security considerations organizations face as AI systems gain greater access and authority.