The Enterprise Buyer’s Guide to AI Security Platforms

How to buy AI Security

AI adoption is outpacing security, governance, and regulation. Organizations are now using and building AI at scale, but security teams are struggling to secure what’s in use. From copilots and chatbots to custom LLM-powered applications and agentic systems, sensitive data is flowing through models and prompts that legacy security tools were never designed to protect and govern.

A new and fast-growing category has emerged to address these challenges – AI Security Platforms. However, with dozens of vendors now offering AI security capabilities and each claiming to solve the same problems, the buying process can feel overwhelming.

This webinar will help you evaluate AI security platforms. Decision makers and practitioners will learn how to assess AI-specific risk, compare platform capabilities, and make defensible buying decisions.

What’s covered:

• AI Security is needed now: Why it has become an immediate buying decision, not a future consideration
• AI-specific risks: Why traditional security tools can’t see or secure the new risks AI creates
• The AI Security model: Visibility, governance, posture, and runtime protection explained
• Platform evaluation: How to assess AI security platforms before you commit
• What you need to ask and know: The questions to raise with vendors, and evaluation traps to be aware of
• Live Q&A: Your questions answered by Cato’s AI Security experts