Guest:

Topic:

Your RSA talk highlights lessons learned from two years of AI red teaming at Google. Could you share one or two of the most surprising or counterintuitive findings you encountered during this process?
What are some of the key differences or unique challenges you've observed when testing AI-powered applications compared to traditional software systems?
Can you provide an example of a specific TTP that has proven effective against AI systems and discuss the implications for security teams looking to detect it?
What practical advice would you give to organizations that are starting to incorporate AI red teaming into their security development lifecycle?
What are some initial steps or resources you would recommend they explore to deepen their understanding of this evolving field?

Resources:

EP230 AI Red Teaming: Surprises, Strategies, and Lessons from Google

Cloud Security Podcast by Google