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EP136 Next 2023 Special: Building AI-powered Security Tools - How We Do It?

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Manage episode 375490664 series 2892548
Content provided by Anton Chuvakin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anton Chuvakin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Guest:

  • Eric Doerr, VP of Engineering, Google Cloud Security

Topics:

  • You have a Next presentation on AI, what is the most exciting part for you?

  • We care both about securing AI and using AI for security. How do you organize your thinking about it?

  • Executive surveys imply that trusting an AI (for business) is still an issue. How can we trust AI for security? What does it mean to “trust AI” in this context?

  • How should defenders think about threat modeling AI systems?

  • Back to using AI for security, what are the absolute worst security use cases for GenAI? Think “generate code and run it on prod” or something like that?

  • What does it mean to “teach AI security” like we did with Sec-PALM2? What is actually involved in this?

  • What were some surprising challenges we ran into here?

Resources:

  continue reading

182 episodes

Artwork
iconShare
 
Manage episode 375490664 series 2892548
Content provided by Anton Chuvakin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anton Chuvakin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Guest:

  • Eric Doerr, VP of Engineering, Google Cloud Security

Topics:

  • You have a Next presentation on AI, what is the most exciting part for you?

  • We care both about securing AI and using AI for security. How do you organize your thinking about it?

  • Executive surveys imply that trusting an AI (for business) is still an issue. How can we trust AI for security? What does it mean to “trust AI” in this context?

  • How should defenders think about threat modeling AI systems?

  • Back to using AI for security, what are the absolute worst security use cases for GenAI? Think “generate code and run it on prod” or something like that?

  • What does it mean to “teach AI security” like we did with Sec-PALM2? What is actually involved in this?

  • What were some surprising challenges we ran into here?

Resources:

  continue reading

182 episodes

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