EP271 Can AI-Native MDR Actually Fix Your Broken SOC Workflows or Just Automate the Mess?
In this live Cloud Security Podcast episode, host Tim Peacock and co‑host Anton Chewbacca interview Eric Foster and Bashar Abu Abusido, CEOs of 10X, about AI‑native Managed Detection and Response (MDR) and its impact on SOC modernization. They discuss why bolting AI onto legacy SIEMs fails, the importance of building AI‑native, cloud‑first platforms, and the shift from traditional metrics like MTTR to outcomes such as false‑positive rates and attacker dwell time. The guests share concrete results—100% alert coverage with a 48‑second response time—and explain how continuous human‑in‑the‑loop reinforcement and automated remediation can earn CISO trust.
EP267 AI SOC or AI in a SOC? Cutting Through Hype, Pricing Models, and SIEM Detection Efficacy with Raffy Marty
In this episode, Tim Peacock and Anton Chuvakian interview SIEM veteran Raffy Marty about the evolving landscape of security information and event management (SIEM) versus emerging AI‑SOC solutions. Marty argues that traditional SIEMs aren’t dead but are under pressure to...
EP264 Measuring Your (Agentic) SOC: Two Security Leaders Walk Into a Podcast
In this episode, Tim Peacock and Anton Chuvakian host Alex Pabst, Deputy CISO at Allianz, and Mike Sinnoh, Director of Detection & Response at Google, to discuss evolving SOC metrics in the age of AI and automation. They critique traditional...
EP263 SOC Refurbishing: Why New Tools Won’t Fix Broken Processes (Even With AI)
In this episode, Daniel Lyman, VP of Threat Detection and Response at Fiserv, discusses why simply adding new security tools— even AI‑driven ones—cannot repair broken SOC processes. He explains the concept of "process gravity," showing how entrenched workflows and cultural...
EP262 Freedom, Responsibility, and the Federated Guardrails: A New Model for Modern Security
In this episode, Global CISO Alex Shulman‑Peleg argues that the traditional, centralized security model is obsolete in the cloud‑native and AI‑driven era, advocating for a federated "freedom and responsibility" approach where engineers own security outcomes. He likens security to code...
EP261 No More Aspiration: Scaling a Modern SOC with Real AI Agents
In this episode, Dennis Chow, Director of Detection Engineering at UKG, discusses the shift from static LLM chatbots to autonomous AI agents within a modern SOC, outlining a three‑tier model that treats agents as application‑level logic requiring robust identity, authorization,...
EP259 Why Google Built a Security LLM and How It Beats the Generalists
In EP259, Distinguished Scientist Elie Burstein from Google DeepMind explains why Google built a security‑focused large language model (SecLLM) and how it outperforms generic LLMs for threat detection, code review, and incident response. He details the model’s specialized training data,...
EP257 Beyond the 'Kaboom': What Actually Breaks When OT Meets the Cloud?
In this episode, Chris Sistrunk explains that the biggest OT risks now stem from routine IT‑style attacks—often “living‑off‑the‑land” exploits on engineering workstations—rather than dramatic malware like Stuxnet, as organizations connect industrial systems to the cloud for telemetry and AI. He...
