A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️
An interactive CLI application for interacting with authenticated Jupyter instances.
LLM | Security | Operations in one github repo with good links and pictures.
This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.
A repository for MLSecOps and DevSecOps research and more!
Minimal reproducible PoC of 3 ML attacks (adversarial, extraction, membership inference) on a credit scoring model. Includes pipeline, visualizations, and defenses
5th year workshop about DevSecMLOps
AI Security Maturity Model and assessment toolkit—secure models, data, LLM/RAG, infra, monitoring, and IR across 11 domains and 5 levels, aligned to NIST AI RMF, SAIF, and OWASP LLM Top 10.
Bert models interpretation and security checker
Hands-on labs for AI/ML/LLM Security — OWASP Top 10, adversarial attacks, defenses, and red teaming simulations.
AI Operations Security Maturity Model and toolkit to secure AI/ML systems across 11 domains and 5 levels—aligned to NIST AI RMF, SAIF, OWASP LLM Top 10, MITRE ATLAS. Practical AI security maturity model with assessment questions, CI/CD policy gates, LLM/RAG controls, infra/accelerator hardening, monitoring, IR, and red teaming.
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