10 things to look for in AI security: evaluation checklist for AI-SPM and data security

Not all AI security tools are built the same. AI agents, MCP servers, and shadow AI are expanding the attack surface faster than most tools can track. This checklist gives security leaders a practical framework to evaluate any AI-SPM or data security solution before they buy.

What you'll learn:

• How to evaluate AI asset discovery across code, cloud, SaaS, and third parties
• Why sensitive data flow tracing from source code to inference is the capability most tools lack
• What compound risk detection means and why tools that assess assets in isolation miss the most dangerous threats
• The 10 specific capabilities that separate a posture dashboard from a real AI security platform

Use this checklist to benchmark your current tools or evaluate new ones. Each of the 10 criteria includes what to look for and how Relyance AI delivers on it.