RiccardoBiosas/awesome-MLSecOps
An awesome list aggregating open-source and commercial security tools for machine learning and LLM systems.
Not currently ranked — collecting fresh signals.
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This repository compiles tools, articles, and tutorials focused on securing ML and LLM systems throughout their lifecycle. It covers attack vectors like data poisoning and model serialization attacks, defensive tools such as Garak for LLM vulnerability scanning and the Adversarial Robustness Toolbox, and MLOps infrastructure security. The list is organized by category including open-source tools, commercial offerings, 101 resources, and community contributions.
Frequently asked
- What is RiccardoBiosas/awesome-MLSecOps?
- An awesome list aggregating open-source and commercial security tools for machine learning and LLM systems.
- Is awesome-MLSecOps open source?
- Yes — RiccardoBiosas/awesome-MLSecOps is open source, released under the MIT license.
- How popular is awesome-MLSecOps?
- RiccardoBiosas/awesome-MLSecOps has 440 stars on GitHub.
- Where can I find awesome-MLSecOps?
- RiccardoBiosas/awesome-MLSecOps is on GitHub at https://github.com/RiccardoBiosas/awesome-MLSecOps.