AI Security Buyer’s Guide

The right way to buy AI security: A guide for CISOs and security leaders

Massive AI adoption across the enterprise has introduced new risks that traditional security controls can’t handle across third-party AI tools, homegrown AI applications, and AI agents. AI security solutions have emerged to close gaps in visibility, policy enforcement, and runtime protection for AI interactions.

This buyer’s guide helps CISOs and security leaders understand what AI security solutions are, why they exist, and how to evaluate vendor offerings. It gives them a framework to assess risk, compare capabilities, and evaluate architectural and operational fit in a structured and disciplined way.

What’s Inside:

• Define the category: Understand AI security solutions and why they have emerged
• Know all the risks: Explore AI-specific risks influencing AI security buyer priorities from Shadow AI to data leakage to agent misuse
• See what good looks like: Evaluate core vendor capabilities across discovery, policy enforcement, runtime protection, risk assessment, and incident response
• Evaluate fit: Review architectural considerations, deployment models and tradeoffs, operational integration, and governance requirements
• Buy better: Use a practical framework to shortlist vendors, define success criteria, and run an effective PoC