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A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps pipeline security.

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Open Source Security ToolsCommercial MLSecOps and AI Security ToolsData Privacy and Anonymization ToolsML Code SecurityAI Security and MLSecOps Beginner ResourcesThreat ModelingAttack VectorsBlogs and PublicationsMLOps Infrastructure VulnerabilitiesAdversarial Machine Learning Research RepositoriesCommunity ResourcesBooks

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Open Source Security Tools

  • AdvBoxAdditional Open-Source Tools

    Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow

  • Adversarial Machine Learning CTFAdditional Open-Source Tools

    CTF challenge demonstrating adversarial-image attacks against neural-network image classifiers

  • Adversarial Robustness ToolboxAdversarial Machine Learning Testing

    Library of defense methods for ML models against adversarial attacks

  • AdvertorchAdditional Open-Source Tools

    Python toolbox for adversarial robustness research

  • Agentic SecurityAdditional Open-Source Tools

    Agentic LLM Vulnerability Scanner / AI red teaming kit

  • Agent Memory GuardAI Agent Security

    OWASP project providing a runtime defense layer that screens AI agent memory reads and writes against prompt injection, secret leakage, and memory poisoning

Adversarial Machine Learning Research Repositories

Showing a sample of 174 resources. View the full list on GitHub →