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

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

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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:

  • Google Threat Intel website
  • “Future of Brain” book by Gary Marcus et al
  • Detection engineering blog (Part 9) and the series
  • Detect engineering blogs by David French
  • The pyramid of pain blog, the classic
  • “Scaling Up Malware Analysis with Gemini 1.5 Flash” and “From Assistant to Analyst: The Power of Gemini 1.5 Pro for Malware Analysis” blogs on Gemini for security

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