awesome-MLSecOps – Secure Your AI/ML Stack with Curated Tools
Awesome-MLSecOps provides a curated list of tools and resources for securing machine learning and AI systems, covering areas such as adversarial ML defense, MLOps pipeline security, and supply-chain protection.
- •When you need to protect your machine learning models from adversarial attacks
- •When you want to secure your MLOps pipeline from vulnerabilities and threats
- •When you are looking for resources to improve the overall security of your AI systems
Explore the 'adversarial-ml-defense' section by opening the 'README.md' file and searching for 'adversarial-ml-defense' to find relevant tools and resources
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/awesome-mlsecops && curl -fsSL https://workflowstacks.com/api/skills/awesome-mlsecops/claude-skill -o ~/.claude/skills/awesome-mlsecops/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/awesome-mlsecops && curl -fsSL https://workflowstacks.com/api/skills/awesome-mlsecops/claude-skill -o ~/.claude/skills/awesome-mlsecops/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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