AI Agents
garak
Scan your LLM for vulnerabilities before attackers do.
★ 9.5k starsApache-2.0
View guide →Scan AI models for serialization attacks before you load them.
modelscan is an open-source ai agents project by protectai (protectai/modelscan on GitHub). It has 781 GitHub stars and 168 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 28 September 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Inspects model files for dangerous payloads.
Scan before deserialization, not after.
Trust-but-verify for downloaded weights.
Gate deployments on scan results.
Drops into ML pipelines easily.
From a dedicated AI-security company.
Download the source and move into the project folder.
git clone https://github.com/protectai/modelscan.git
cd modelscanIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m modelscan # check README for the exact commandIt is an open-source project at protectai/modelscan with 168 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
Model serialization attacks — malicious code hidden in model files that executes on load.
Point it at model files before loading them, ideally as a CI step.
Clone the repo and follow the README quickstart — the docs at http://modelscan.ai walk through setup.
Scan your LLM for vulnerabilities before attackers do.
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