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EP196 AI+TI: What Happens When Two Intelligences Meet?

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Manage episode 447258357 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://podcastplayer.com/legal.

Guest:

  • Vijay Ganti, Director of Product Management, Google Cloud Security

Topics:

  • What have been the biggest pain points for organizations trying to use threat intelligence (TI)?
  • Why has it been so difficult to convert threat knowledge into effective security measures in the past?
  • In the realm of AI, there's often hype (and people who assume “it’s all hype”). What's genuinely different about AI now, particularly in the context of threat intelligence?
  • Can you explain the concept of "AI-driven operationalization" in Google TI? How does it work in practice?
  • What's the balance between human expertise and AI in the TI process? Are there specific areas where you see the balance between human and AI involvement shifting in a few years?
  • Google Threat Intelligence aims to be different. Why are we better from client PoV?

Resources:

  continue reading

229 episodes

Artwork
iconShare
 
Manage episode 447258357 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://podcastplayer.com/legal.

Guest:

  • Vijay Ganti, Director of Product Management, Google Cloud Security

Topics:

  • What have been the biggest pain points for organizations trying to use threat intelligence (TI)?
  • Why has it been so difficult to convert threat knowledge into effective security measures in the past?
  • In the realm of AI, there's often hype (and people who assume “it’s all hype”). What's genuinely different about AI now, particularly in the context of threat intelligence?
  • Can you explain the concept of "AI-driven operationalization" in Google TI? How does it work in practice?
  • What's the balance between human expertise and AI in the TI process? Are there specific areas where you see the balance between human and AI involvement shifting in a few years?
  • Google Threat Intelligence aims to be different. Why are we better from client PoV?

Resources:

  continue reading

229 episodes

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