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Evaluation Guide
AI Agent Security Platform Evaluation Scorecard 2026
A practical scorecard to compare AI agent security platforms on runtime controls, audit trails, and identity boundaries.
Evaluating agent security tools is hard because demos sound similar while control models differ in the ways that matter most. This scorecard helps you run a criteria-driven evaluation, force live proof in demos, and leave with an audit-ready decision trail.
Inside, you'll discover:
The one evaluation question that anchors the whole buying process: active agents, access, allowed actions, and audit trail.
The 7 platform capabilities to test, from agent inventory and permission boundaries to runtime enforcement and connector governance.
What "Weak", "Usable", and "Strong" look like for each category, so you can rate vendors consistently.
The 3 demo red flags that signal you are getting category language instead of operational controls.
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