EP264 Measuring Your (Agentic) SOC: Two Security Leaders Walk into a Podcast
Cloud Security Podcast by Google
Release Date: 02/23/2026
Cloud Security Podcast by Google
Guest: , CEO, Pulse Security AI , Chief Go-To-Market Officer, Topics: You’ve described Pulse as an 'operational management platform for cybersecurity leaders.' What does a security management platform look like in practice? How does Pulse bridge this 'translation layer' gap? How do you help a CISO transition from presenting patch rates and MTTD to discussing liability exposure and business capital allocation? What actually gets better when someone works with Pulse? Other than, of course, your ARR numbers for your next funding round? What is the single most...
info_outlineCloud Security Podcast by Google
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info_outlineCloud Security Podcast by Google
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info_outlineCloud Security Podcast by Google
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info_outlineCloud Security Podcast by Google
Cloud Security Podcast Episode 285: Defending Against the AI DDoS Is internet trust fundamentally broken? On this episode, former Google "Click Fraud Czar" and Reken CEO Shuman Ghosemajumder joins hosts Tim Peacock and Nolan Karpinski to trace the evolution of automated fraud—from Gmail's early invite days to the origin of "credential stuffing." Discover why today’s threat landscape feels like an AI DDoS, how cybercriminals exploit the "Smart Cow" resource model, and why running security models on-device is our best shot at defending against scaled...
info_outlineCloud Security Podcast by Google
Can you build a fully functional, high-scale SIEM in just two weeks for under $7,000? In this episode of the Cloud Security Podcast, hosts Tim Peacock and Kyle Champlin sit down with long-time collaborator Dan Lucier, Founder of Nano, to unpack how he "vibe-coded" an entire SIEM from scratch during his end-of-year holiday break. Dan shares his journey of leveraging bleeding-edge AI code assistants to go from a Postgres prototype to a blazing-fast, production-ready SIEM built on Rust and ClickHouse. In this episode, we cover: 🛠️ The...
info_outlineCloud Security Podcast by Google
info_outlineCloud Security Podcast by Google
https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-cisos-can-pursue-technical-and-cultural-resilience-q-a?e=48754805
info_outlineCloud Security Podcast by Google
info_outlineCloud Security Podcast by Google
info_outlineGuests:
- Alexander Pabst, Global Deputy CISO, Allianz SE
- Michael Sinno, Director of D&R, Google
Topics:
- We’ve spent decades obsessed with MTTD (Mean Time to Detect) and MTTR (Mean Time to Respond). As AI agents begin to handle the bulk of triage at machine speed, do these metrics become "vanity metrics"? If an AI resolves an alert in seconds, does measuring the "mean" still tell us anything about the health of our security program, or should we be looking at "Time to Context" instead?
- You mentioned the Maturity Triangle. Can you walk us through that framework? Specifically, how does AI change the balance between the three points of that triangle—is it shifting us from a "People-heavy" model to something more "Engineering-led," and where does the "Measurement" piece sit?
- Google is famous for its "Engineering-led" approach to D&R. How is Google currently measuring the success of its own internal D&R program? Specifically, how are you quantifying "Toil Reduction"? Are we measuring how many hours we saved, or are we measuring the complexity of the threats our humans are now free to hunt?
- Toil reduction is a laudable goal for the team members, what are the metrics we track and report up to document the overall improvement in D&R for Google’s board?
- When you talk to your board about the success of AI in your security program, what are the 2 or 3 "Golden Metrics" that actually move the needle for them? How do you prove that an AI-driven SOC is actually better, not just faster?
- We often talk about AI as an "assistant," but we’re moving toward Agentic SOCs. How should organizations measure the "unit economics" of their SOC? Should we be tracking the ratio of AI-handled vs. Human-handled incidents, and at what point does a high AI-handle rate become a risk rather than a success?
Resources:
- Video version
- EP252 The Agentic SOC Reality: Governing AI Agents, Data Fidelity, and Measuring Success
- EP238 Google Lessons for Using AI Agents for Securing Our Enterprise
- EP91 “Hacking Google”, Op Aurora and Insider Threat at Google
- EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI
- EP189 How Google Does Security Programs at Scale: CISO Insights
- EP75 How We Scale Detection and Response at Google: Automation, Metrics, Toil
- The SOC Metrics that Matter…or Do They? blog
- An Actual Complete List Of SOC Metrics (And Your Path To DIY) blog
- Achieving Autonomic Security Operations: Why metrics matter (but not how you think) blog