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サマリー
あらすじ・解説
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