EP267 AI SOC or AI in a SOC? Cutting Through Hype, Pricing Models, and SIEM Detection Efficacy with Raffy Marty
Cloud Security Podcast by Google
Release Date: 03/16/2026
Cloud Security Podcast by Google
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info_outlineCloud Security Podcast by Google
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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_outlineGuest:
- Raffael Marty, Operating Advisor, a SIEM legend since 1999
Topics:
- You argue that declaring existing SIEM being obsolete is a "marketing slogan" rather than a true thesis. What is the real pain point and the actual gap in traditional SIEMs as opposed to the more sensational claims?
- You highlight that "correlation, state, timelines, and real-time detection require locality," making centralization a necessary trade-off. Can a truly federated or decoupled SIEM architecture achieve the same fidelity and real-time performance for complex, stateful detections as a centralized one?
- You call the rise of independent security data pipelines the "SIEM Trojan Horse." How quickly is this abstraction layer turning SIEM into a “swappable” component, and what should SIEM vendors have done differently years ago to prevent this market from existing?
- This "AI SOC" thing, is this even real? Is AI in a SOC a better label? Do you think major SIEM vendors will own this very soon, like they did with UEBA and SOAR?
- If volume-based pricing is flawed because it penalizes good security hygiene, what is a better SIEM pricing model that fairly addresses compute, enrichment, and retention costs without just shifting the volume cost to unpredictable query charges?
- You question the idea that startups can find a better way to release detection rules than large vendors with significant content teams. What metrics should security leaders use to evaluate the quality of a vendor's detection engineering (DE) output beyond just coverage numbers? Can AI fix DE?
Resources:
- Video version
- The SIEM Maturity Framework: A Practical Scoring Tool for Security Analytics Platforms and raffy.ch/SIEM/
- The Gaps That Created the New Wave of SIEM and AI SOC Vendors
- How AI Impacts the Cyber Market and The Future of SIEM
- Why Venture Capital Is Betting Against Traditional SIEMs
- EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI
- EP234 The SIEM Paradox: Logs, Lies, and Failing to Detect
- EP125 Will SIEM Ever Die: SIEM Lessons from the Past for the Future
- Decoupled SIEM: Brilliant or Stupid?
- Decoupled SIEM: Where I Think We Are Now?