Most teams buy AI security tools the same way they buy compliance posters: by feature checklist. Then audit hits. Controls aren't mapped. Detections aren't evidenced. The tool detected prompt injection in a sandbox — but no one can prove it works against your traffic, on your models, with your data. This scorecard puts your tool through the questions an assessor will ask.
Tool name, vendor, and your deployment context shape what "good" looks like. A guardrail layer for an internal copilot has different bar than one fronting customer-facing chat.
Each answer is weighted by audit impact. "Don't know" counts as a gap — assessors don't accept "we'd have to ask the vendor."
Score, risk exposure, top gaps, and the controls those gaps map to. This is the snapshot you'd hand to your auditor — minus the bad surprises.
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Your scorecard, ranked gaps, and recommended NIST AI RMF + ISO 42001 control mappings — formatted for your audit binder. We'll also follow up with a 15-minute walkthrough offer if useful.