Intro

This chapter explores strategies for securing AI applications in cloud environments, highlighting the importance of identifying vulnerabilities and developing security policies. It emphasizes integrating traditional application security methods into the DevSecOps pipeline for AI technologies deployed on platforms like AWS and Azure.

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What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape.