EP173 SAIF in Focus: 5 AI Security Risks and SAIF Mitigations

Guest: Shan  Rao, Group Product Manager, Google  Topics: What are the unique challenges when securing AI for cloud environments, compared to traditional IT systems? Your talk covers 5 risks, why did you pick these five? What are the five, and are these the worst? Some of the mitigation seems the same for all risks. What are the popular SAIF mitigations that cover more of the risks? Can we move quickly and securely with AI? How? What future trends and developments do you foresee in the field of securing AI for cloud environments, and how can organizations prepare for them? Do you think in 2-3 years AI security will be a separate domain or a part of … application security? Data security? Cloud security?  Resource: Video (LinkedIn, YouTube)  [live audio is not great in these] "A cybersecurity expert's guide  to securing AI products with Google SAIF" presentation SAIF Site "To securely build AI on Google Cloud, follow these best practices" (paper) "Secure AI Framework (SAIF): A Conceptual Framework for Secure AI Systems" resources Corey Quinn on X (long story why this is here… listen to the episode)

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