RiccardoBiosas / awesome-MLSecOps
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.
Why this job: name: awesome; says: curated list
What it does
This curated catalog helps security engineers, ML practitioners, developers, and AI red teams discover open-source MLSecOps tools, adversarial machine learning research, AI security frameworks, threat-modeling resources, and practical learning materials.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 490
- +5 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Astro
- 46% of the code
Is it looked after?
- Contributors
- 11
- Last 90 days
- Issues
- 73% closed
- 4 still open
- Pull requests
- 44 merged
- 24 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Astro 46%
- TypeScript 40%
- CSS 14%
Topics
- mlsecops
- machine-learning-security
- adversarial-machine-learning
- agentic-security
- ai-governance
- ai-red-teaming
- ai-security
- large-language-model
- llm-security
- mlops-security
- prompt-injection
- supply-chain-security
Project record
- JobLists and guides
- StatusListed
- Commits159
- Forks130
- Watching14
- Stars in 28 days+14
- CreatedApr 1, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026