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.
Explore a collection of tools and resources to secure AI systems throughout their development and use.
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Free · no card · unsubscribe anytimeA 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.
awesome-MLSecOps has 460 stars on GitHub. It has been forked 99 times. awesome-MLSecOps is written mainly in Astro. It has been in active development since 2023. awesome-MLSecOps is available under the MIT license. Its main topics are adversarial-machine-learning, agentic-security, ai-agents, ai-governance.
What is 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.
Is awesome-MLSecOps open source?
awesome-MLSecOps is an open-source project. It is released under the MIT license.
Is awesome-MLSecOps free?
Yes. awesome-MLSecOps is free and open source — you can use, modify and self-host it.
What license does awesome-MLSecOps use?
awesome-MLSecOps is available under the MIT license.
What language is awesome-MLSecOps written in?
awesome-MLSecOps is written mainly in Astro.
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