Top 4 AI Security Challenges CISOs Face

Employees are prompting AI with customer data, developers are shipping apps built on models they didn’t vet, and AI agents are running workflows across business systems. But most organizations still lack visibility and control over where AI is being used, what data it touches, and how agentic workflows behave in real time.

This guide breaks down the four AI security challenges CISOs need to address now. It lays out the blueprint for securing AI use, AI applications, and AI agents.

What’s Inside:

• Real-world AI security risks: Shadow AI, sensitive data exposure, runtime threats, and the unique dangers of agentic AI
• Documented AI security incidents, including WebPromptTrap, CurXecute, OpenClaw, and AI coding agent failures
• Where AI risk lives in your enterprise: across development, marketing, sales, finance, and beyond.
• How to build a security strategy that spans employee use, homegrown AI applications, and autonomous agents