Benjamin-KY/MLSecOps
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.
This resource helps cybersecurity professionals and ML engineers secure machine learning systems throughout their entire lifecycle, from data preparation to deployment and monitoring. It provides curated frameworks, tools, and industry updates to defend against new AI-specific threats. The repository serves as a guide for building robust security into AI/ML environments.
Use this if you are responsible for securing AI and machine learning systems and need to understand the latest threats, frameworks, and tools in MLSecOps.
Not ideal if you are looking for a basic introduction to machine learning concepts or general cybersecurity practices unrelated to AI/ML systems.
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Feb 12, 2026
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