Key Components of an AI Security Strategy

This chapter explores the intricacies of developing an AI security strategy, focusing on retrieval-augmented generation (RAG). It emphasizes the significance of compliance and the risks of bias and malicious attacks, while also discussing the legal consequences these challenges pose across different industries.

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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.