AI Security Platform Buyer's Guide

What to look for in AI security solutions

49% of enterprises report little or no visibility into AI usage, and 57% cannot block risky AI interactions. Only 9% have fully integrated data security and identity governance with AI controls. This guide provides a structured framework for evaluating AI security platforms and closing these critical visibility and governance gaps.

Inside, you will find:

• Critical Security Questions: Benchmarks and questions regarding tool visibility, data access, identity risk, and remediation readiness.
• Legacy Tool Limitations: Analysis of why traditional approaches fail to solve problems of alignment, scale, access explosion, and attribution collapse.
• Six-Pillar Evaluation Framework: Comprehensive criteria for discovery, governance, monitoring, runtime protection, compliance, and implementation.
• 34 Vendor Evaluation Criteria: Specific questions mapped to each pillar to identify solutions with a proven data-centric foundation.
• Scoring Matrix: A systematic tool to compare vendors against your organization’s specific risk priorities.

Whether you are starting from scratch or reviewing your current options, these criteria help you focus on what matters most.

Download the guide.