What Generative AI Promises for Triage and Scale

Guest:

• Monzy Merza, co-founder and CEO at Crogl

Topics:

• We often hear about the aspirational idea of an "IronMan suit" for the SOC—a system that empowers analysts to be faster and more effective. What does this ideal future of security operations look like from your perspective, and what are the primary obstacles preventing SOCs from achieving it today?
• You've also raised a metaphor of AI in the SOC as a "Dr. Jekyll and Mr. Hyde" situation. Could you walk us through what you see as the "Jekyll"—the noble, beneficial promise of AI—and what are the factors that can turn it into the dangerous "Mr. Hyde"?
• Let's drill down into the heart of the "Mr. Hyde" problem: the data. Many believe that AI can fix a team's messy data, but you've noted that "it's all about the data, duh." What's the story?
• "AI ready SOC" - What is the foundational work a SOC needs to do to ensure their data is AI-ready, and what happens when they skip this step?
• And is there anything we can do to use AI to help with this foundational problem?
• How do we measure progress towards AI SOC? What gets better at what time? How would we know?
• What SOC metrics will show improvement? Will anything get worse?

Resources:

• EP242 The AI SOC: Is This The Automation We've Been Waiting For?
• EP170 Redefining Security Operations: Practical Applications of GenAI in the SOC
• EP227 AI-Native MDR: Betting on the Future of Security Operations?
• EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI
• EP238 Google Lessons for Using AI Agents for Securing Our Enterprise
• "Simple to Ask: Is Your SOC AI Ready? Not Simple to Answer!" blog
• Nassim Taleb "Antifragile" book
• "AI Superpowers" book
• "Attention Is All You Need" paper