AI Security Platforms Explained (AI Security & Adversarial Risk Series, #2)

As organizations deploy AI at scale, security leaders face a fragmented and rapidly evolving vendor landscape. Choosing the wrong platform-or deploying the right one incorrectly-can create blind spots rather than reduce risk.

AI Security Platforms Explained is a vendor-neutral guide for CISOs and security leaders responsible for evaluating, procuring, and operating AI security solutions. The book focuses on capabilities, integration points, and operational outcomes rather than marketing claims.

It provides a clear framework for understanding what AI security platforms can-and cannot-do, and how they fit into existing security architectures.

Readers will learn how to:

• Understand core capability categories across AI security platforms
• Map platform features to real operational risks
• Integrate AI security tooling with SOC, IAM, and governance workflows
• Evaluate visibility, policy enforcement, and audit coverage
• Assess ROI and avoid overlapping or redundant controls
• Ask the right procurement questions during vendor selection

This book equips security leaders with the clarity needed to make informed decisions and operate AI security platforms effectively in production environments.