Protect AI fits organizations concerned with model provenance, registry security, software supply chain risk, and end-to-end ML platform exposure. It complements governance programs that need actual technical controls beneath policy.
ML supply chain
model scanning
registry security
platform security
Buyer Checklist
Does it scan models, artifacts, and registries before deployment?
Can it surface vulnerabilities across training and inference stacks?
How does it integrate with existing CI/CD and MLOps flows?
Is posture reporting useful for both security and platform teams?
What support exists for open-source model intake?
Can it cover container, artifact, and model repository layers together?