Model Scanner by HiddenLayer enhances model security by identifying and eliminating potential vulnerabilities in machine learning models from public repositories. It secures the digital supply chain before deployment, mitigating the risk of adversarial code. Model Scanner identifies and remediates potential risks, ensuring a safe environment for machine learning operations. It provides insights into malicious code to mitigate risks effectively and maintain a secure ML operational environment. Model Scanner supports various AI model file types including Pickle, Dill, Joblib, Numpy, Zip, and ONNX. It uses supervised learning, unsupervised learning, dynamic/behavioral analysis, and static analysis to detect adversarial machine learning attacks. Model Scanner is easy to integrate into existing CI/CD pipelines, defending AI assets without compromising speed, efficacy, and reliability.
