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ModelScan

A pre-load scanner that flags suspicious constructs in supported machine learning model files.

Published by Protect AI

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How to use it

Run the scanner as part of model intake before a third-party artifact is loaded by an inference service or opened in a developer environment. Review any findings and require approval for exceptions.

Keep scan results tied to the artifact digest. A clean result helps with triage and belongs alongside other controls such as provenance checks, isolated processing, and an allowlist of model formats.

Access
Open-source software
License
Apache-2.0
Official resource