Intro

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