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MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257

MLOps.community

CHAPTER

Securing Open Source AI Frameworks

This chapter explores the critical need for security in open-source projects, particularly within the context of AI frameworks like Ray and MLflow. It details specific vulnerabilities, such as the Shadow Ray attack and poorly configured interfaces, emphasizing the importance of continuous patching and bug bounty programs. Additionally, it highlights the legal implications of data usage and stresses the necessity of vigilance in software components employed in AI systems.

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