Cloud Security Podcast by Google
Cloud Security Podcast by Google explores security in the cloud, delivering security from the cloud, and the intersection of security and cloud computing. The show discusses Google Cloud's efforts to keep user data safe and workloads secure, while aiming to avoid security theater and focus on real security questions. It questions threat models and examines whether actions truly benefit data subjects or merely serve organizational interests. The podcast appeals to listeners curious about the overlap of technology, process, and organizational design as computing shifts from on-premises to the cloud.
Episodes
EP291 Ruthless Prioritization: How CISOs Can Execute a Minimum Viable Security Program
Guest: Mike Armistead, CEO, Pulse Security AI Dan Lamorena, Chief Go-To-Market Officer, Pulse Security AI 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
EP290 Project Atlas: Wiz's AI Vulnerability Research
ZeroDay Cloud: How a hacking competition exposed the reality of AI-augmented offensive security. The Power of Multi-Agent AI: Why a single model is not enough, and how specialized agents (Threat Modeling, Hunting, Triage, and Adversarial Debate) collaborate like a human team. GitHub RCE & CosmosDB Cross Tenant Access: A breakdown of the record-breaking bounty for the GitHub RCE report and the Azur
EP289 Software Engineering vs. Software Craft: How Google Scalably Eliminates Classes of Vulnerabilities
How do you build the foundations for a secure Google-scale enterprise that stays secure even if an AI is writing the code and nobody has time to review it? In this episode, hosts Timothy Peacock and Anton Chuvakin sit down with Christoph Kern, Principal Security Engineer at Google, to look under the hood of "secure-by-design." They trace Google's 15-year engineering journey to fundamentally elimin
EP288 CISO Tested, Board Approved: Cloud Resilience with General Mills CISO Noah Korba
How do you make sure your favorite cereal is always on the shelves when a cyber disaster strikes? In this episode, hosts Tim Peacock and Alicja Cade sit down with Noah Korba, VP of Digital Core, Cybersecurity, and Enterprise Architecture at General Mills, to look under the hood of "Mills Collaborative Recovery"—their intensive, annual two-week drill that actually recovers 90% of their Google Cloud
EP287: Creating Trust at Global Scale with Local AI: Reken-ing with Shuman Ghosemajumder
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
EP286 Building an AI-pilled, solo vibe-coded, Clickhouse-based SIEM with Dan Lussier
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
EP285 Scaling Lessons from Leading the NSA to Defending the World with Morgan Adamski
EP284 Closest Alligator to the Canoe: How Transforming SOC Became P0 for Lloyds Bank
https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-cisos-can-pursue-technical-and-cultural-resilience-q-a?e=48754805
EP283: How Google Cloud CISO Chris Betz Uses LLMs to Defend Billions of Users from Vulnerablities
EP282: Debating Coupled or Decoupled SIEM with Alex Hurtado and Christopher Witter
EP281: Deceiving Adversaries at Scale with Kevin Conley
EP280 Hyperscaling Cloud Security: Wiz Joins the Cloud Security Podcast by Google
EP279 Native Cloud Security: Is 'Good Enough' Actually Winning?
Guests: Gal Ordo, Co-founder & CPO @ Native Topics: In Episode 186, we debated 'Native vs. Third-Party' as a binary choice. Native seems to be a third-party vendor whose entire existence depends on the belief that cloud-native controls are superior. Does your platform validate the 'Cloud Provider' side of the debate (that their controls are enough), or does the fact that you exist prove the
EP278 The Agentic SOC: Are We Measuring Time Saved or Risk Reduced?
Guest: Matt Gregson, Principal - PwC Cyber Security Topics: What is the state of the art of "agentic SOC" in 2026? Can you describe the most agentic SOC you've seen so far? In your experience, what are the main measurable benefits of AI agents in a SOC and IR? Imagine a 2030 SOC, what do humans do? Tell us more about how you judge if a client SOC is ready for AI and agents? What is the "Ouch" m
EP277: CISO as CFO, From Citi to Celery, It's All about the Cabbage
Guest: Arvin Bansal, CISO, C&S Wholesale Grocers Topics: Most people do not associate grocery wholesale and retail with cutting edge technology and threat models. Can you produce the receipts for why this isn't a story of dry goods but rather a very meaty topic with beefy adversaries? How are you as the CISO enabling C&S's journey into AI and LLM driven work? Securing AI is a bit harder than s
EP276 AI Governance vs. The Hyper-Velocity Agentic Future: A Lawyer's Take
Episode co-host: Marina Kaganovich, Enterprise Trust Lead, Office of the CISO, Google Cloud Guest: James Sherer, Partner at BakerHostetler Topics Is AI just an emerging technology or something bigger, deeper and different? Is this another emerging technology or a fundamental shift? How to effectively govern something that is rapidly changing at unprecedented velocity? We navigated the go
EP275 Google Cloud Next 2026: The AI Earthquake, "SOC-home" Syndrome, and the Ragged Edge of Reality
Guests: No guests Topics: So what have we seen at Google Cloud Next 2026? Any closing loops for our 2023-2025 Cloud Next observations? We are seeing that AI security is not an island ... what does that tell us about the difference between cloud and AI adoption? What does "ragged edge of AI adoption" mean for security? Why do people want agents in their SOC? Do they know what gets better? Wha
EP274 AI, Zero Trust and Secure by Design Walk into a Bar...
Guest: Grant Dasher, ex-CISA, ex-Google, Distinguished Engineer, Google (again) Topics: Why is the "Secure-by-Design" movement gaining so much momentum now, and is it a response to the failure of "bolted-on" security, or just a natural evolution of cloud maturity? In a future Secure-by-Design world, is identity the only perimeter that actually matters anymore? Or is this a cliche? As we move t
EP273 From CISA to Cloud: AI Assurance, Concentration Risk, and the New Regulatory Frontier
Guest: Jeanette Manfra, VP, Head of Risk and Compliance, Google Cloud Topics: How does "outsourcing" security to the cloud change the intensity of the security vs. privacy struggle for a CISO? Does the centralization of cloud make it a bigger target for regulators, or is there a dimension we're missing? Does the Shared Responsibility Model actually survive contact with regulators, and how does
EP272 More Than Just Packets: Is NDR a "First-Class" Cloud Security Control?
Guest: Raja Mukerji, Co-Founder & Chief Scientist, Extrahop Rafal Los, VP of Client Relations and Strategic Initiatives, Extrahop Topics: Is Network Detection and Response (NDR) coming back after being shoved to the side by EDR a bit? Is this for real? What's the value proposition of NDR in 2026, because some people still don't understand it? How does NDR apply to the world of WFH, cloud/SaaS,
EP271 Can AI-Native MDR Actually Fix Your Broken SOC Workflows or Just Automate the Mess?
Guests: Eric Foster, CEO, Tenex.AI Bashar Abouseido, President, Tenex.AI Topics: "10X SOC" sounds great. But for an organization stuck in "SIEM 1.0" with poor data quality and manual workflows, is "AI-native MDR" a "leapfrog" opportunity or a recipe for disaster? We've seen the rise of "Decoupled SIEM" and security data lakes. Does a "Modern SIEM" even need to exist if an MDR platform has an
EP270 The Convenience Tax: Why We Keep Failing at Supply Chain Security
Guest: Dan Lorenc, Founder / CEO, Chainguard Topics: We just saw a security tool (Trivy) get used to pop an AI infrastructure tool (LiteLLM) to eventually pop end users. Have we reached the point where our security tooling is actually our largest unmanaged attack surface? Why now? Software supply chain security had the perennial vibe of "not top concern" for most organizations, right? TeamPCP
EP269 Reflections on RSA 2026 - Beyond AI AI AI AI AI AI AI
Guests: No guests! Just Tim and Anton Topics: Hard to believe we've been doing these since 2022, is that right? What did we see this year at RSA, apart from AI? And more AI? And more AI? What framework can we use to understand the approaches vendors take to AI and security? Just saying "AI washing" is not enough! How to tell "AI washer" from "AI tourist"? I sense that "securing AI" (and agents
EP268 Weaponizing the Administrative Fabric: Cloud Identity and SaaS Compromise in M Trends 2026
Guests: Kelli Vanderlee, Senior Manager, Threat Analysis, Mandiant, Google Cloud Scott Runnels, Mandiant Incident Response, Google Cloud Topics: Do we need to rethink "Mean Time to Respond" entirely, or are we just in deep trouble? Why are threat groups collaborating so well, and are there actual lessons for defenders in their "business" model? What is the scalable advice for teams worried abo
EP267 AI SOC or AI in a SOC? Cutting Through Hype, Pricing Models, and SIEM Detection Efficacy with Raffy Marty
Guest: 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 centra
EP266 Resetting the SOC for Code War: Allie Mellen on Detecting State Actors vs. Doing the Basics
Guest: Allie Mellen, Principal Analyst @ Forrester, author of "Code War: How Nations Hack, Spy, and Shape the Digital Battlefield" Topics: Your book focuses on the US, China, and Russia. When you were planning the book did you also want to cover players like Israel, Iran, and North Korea? Most of our listeners are migrating to or operating heavily in the cloud. As nations refine their "digital
EP265 Beyond Shadow IT: Unsanctioned AI Agents Don't Just Talk, They Act!
Guest: Alastair Paterson, CEO and co-founder @ Harmonic Security Topics: Harmonic Security focuses on securing generative AI in use. Can you walk us through a real, anonymized example of a data leak caused by employee AI usage that your platform has identified? AI governance gets thrown around a lot. What does this mean in the context of Shadow AI? How should organizations be thinking about gov
EP264 Measuring Your (Agentic) SOC: Two Security Leaders Walk into a Podcast
Guests: 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 abo
EP263 SOC Refurbishing: Why New Tools Won't Fix Broken Processes (Even With AI)
Guest: Daniel Lyman, VP of Threat Detection and Response, Fiserv Topics: What is the right way for people to bridge the gap and translate executive dreams and board goals into the reality of life on the ground? How do we talk to people who think they have "transformed" their SOC simply by buying a better, shinier product (like a modern SIEM) while leaving their old processes intact? What are th
EP262 Freedom, Responsibility, and the Federated Guardrails: A New Model for Modern Security
Guest: Alex Shulman-Peleg, Global CISO at Kraken Topics: You mentioned that centralized security can't work anymore. Can you elaborate on the key changes—driven by cloud, SaaS, and AI—that have made this traditional model unsustainable for a modern organization? Why do some persist at centralized, top down approach to security, despite that? What do you mean by "Freedom, Responsibility and dis
EP261 No More Aspiration: Scaling a Modern SOC with Real AI Agents
Guest: Dennis Chow, Director of Detection Engineering at UKG Topics: We ended our season talking about the AI apocalypse. In your opinion, are we living in the world that the guests describe in their apocalypse paper? Do you think AI-powered attacks are really here, and if so, what is your plan to respond? Is it faster patching? Better D&R? Something else altogether? Your team has a hybr
EP260 The Agentic IAM Trainwreck: Why Your Bots Need Better Permissions Than Your Admins
Guest: Vishwas Manral, CEO at Precize.ai Topic: Why is agent security so different from "just" LLM security? Why now? Agents are coming, sure, but they are - to put it mildly - not in wide use. Why create a top 10 list now and not wait for people to make the mistakes? It sounds like "agents + IAM" is a disaster waiting to happen. What should be our approach for solving this? Do we have one? Whi
EP259 Why DeepMind Built a Security LLM Sec-Gemini and How It Beats the Generalists
Guest: Elie Burstein, Distinguished Scientist, Google Deepmind Topics: What is Sec-Gemini, why are we building it? How does DeepMind decide when to create something like Sec-Gemini? What motivates a decision to focus on something like this vs anything else we might build as a dedicated set of regular Gemini capabilities? What is Sec-Gemini good at? How do we know it's good at those things?
EP258 Why Your Security Strategy Needs an Immune System, Not a Fortress with Royal Hansen
Guest: Royal Hansen, VP of Engineering at Google, former CISO of Alphabet Topics: The "God-Like Designer" Fallacy: You've argued that we need to move away from the "God-like designer" model of security—where we pre-calculate every risk like building a bridge—and towards a biological model. Can you explain why that old engineering mindset is becoming risky in today's cloud and AI environments? R
EP257 Beyond the 'Kaboom': What Actually Breaks When OT Meets the Cloud?
Guest: Chris Sistrunk, Technical Leader, OT Consulting, Mandiant Topics: When we hear "attacks on Operational Technology (OT)" some think of Stuxnet targeting PLCs or even backdoored pipeline control software plot in the 1980s. Is this space always so spectacular or are there less "kaboom" style attacks we are more concerned about in practice? Given the old "air-gapped" mindset of many OT envir
EP256 Rewiring Democracy & Hacking Trust: Bruce Schneier on the AI Offense-Defense Balance
Guest: Bruce Schneier Topics: Do you believe that AI is going to end up being a net improvement for defenders or attackers? Is short term vs long term different? We're excited about the new book you have coming out with your co-author Nathan Sanders "Rewiring Democracy". We want to ask the same question, but for society: do you think AI is going to end up helping the forces of liberal democra
EP255 Separating Hype from Hazard: The Truth About Autonomous AI Hacking
Guest: Heather Adkins, VP of Security Engineering, Google Topic: The term "AI Hacking Singularity" sounds like pure sci-fi, yet you and some other very credible folks are using it to describe an imminent threat. How much of this is hyperbole to shock the complacent, and how much is based on actual, observed capabilities today? Can autonomous AI agents really achieve that "exploit - at - machi
EP254 Escaping 1990s Vulnerability Management: From Unauthenticated Scans to AI-Driven Mitigation
Guest: Caleb Hoch, Consulting Manager on Security Transformation Team, Mandiant, Google Cloud Topics: How has vulnerability management (VM) evolved beyond basic scanning and reporting, and what are the biggest gaps between modern practices and what organizations are actually doing? Why are so many organizations stuck with 1990s VM practices? Why mitigation planning is still hard for so many? Wh
EP253 The Craft of Cloud Bug Hunting: Writing Winning Reports and Secrets from a VRP Champion
Guests: Sivanesh Ashok, bug bounty hunter Sreeram KL, bug bounty hunter Topics: We hear from the Cloud VRP team that you write excellent bugbounty reports - is there any advice you'd give to other researchers when they write reports? You are one of Cloud VRP's top researchers and won the MVH (most valuable hacker) award at their event in June - what do you think makes you so successful at findi
EP252 The Agentic SOC Reality: Governing AI Agents, Data Fidelity, and Measuring Success
Guests: Alexander Pabst, Deputy Group CISO, Allianz Lars Koenig, Global Head of D&R, Allianz Topics: Moving from traditional SIEM to an agentic SOC model, especially in a heavily regulated insurer, is a massive undertaking. What did the collaboration model with your vendor look like? Agentic AI introduces a new layer of risk - that of unconstrained or unintended autonomous action. In the co
EP251 Beyond Fancy Scripts: Can AI Red Teaming Find Truly Novel Attacks?
Guest: Ari Herbert-Voss, CEO at RunSybil Topics: The market already has Breach and Attack Simulation (BAS), for testing known TTPs. You're calling this 'AI-powered' red teaming. Is this just a fancy LLM stringing together known attacks, or is there a genuine agent here that can discover a truly novel attack path that a human hasn't scripted for it? Let's talk about the 'so what?' problem. Pente
EP250 The End of "Collect Everything"? Moving from Centralization to Data Access?
Guest: Balazs Scheidler, CEO at Axoflow, original founder of syslog-ng Topics: Are we really coming to "access to security data" and away from "centralizing the data"? How to detect without the same storage for all logs? Is data pipeline a part of SIEM or is it standalone? Will this just collapse into SIEM soon? Tell us about the issues with log pipelines in the past? What about enrichment? Wh
EP249 Data First: What Really Makes Your SOC 'AI Ready'?
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 th
EP248 Cloud IR Tabletop Wins: How to Stop Playing Security Theater and Start Practicing
Guest: Jibran Ilyas, Director for Incident Response at Google Cloud Topics: What is this tabletop thing, please tell us about running a good security incident tabletop? Why are tabletops for incident response preparedness so amazingly effective yet rarely done well? This is cheap/easy/useful so why do so many fail to do it? Why are tabletops seen as kind of like elite pursuit? What's your favo
EP247 The Evolving CISO: From Security Cop to Cloud & AI Champion
Guest: David Gee, Board Risk Advisor, Non-Executive Director & Author, former CISO Topics: Drawing from the "Aspiring CIO and CISO" book's focus on continuous improvement, how have you seen the necessary skills, knowledge, experience, and behaviors for a CISO evolve, especially when guiding an organization through a transformation? Could you share lessons learned about leadership and organiza
EP246 From Scanners to AI: 25 Years of Vulnerability Management with Qualys CEO Sumedh Thakar
Guest: Sumedh Thakar, President and CEO, Qualys Topics: How did vulnerability management (VM) change since Qualys was founded in 1999? What is different about VM today? Can we actually remediate vulnerabilities automatically at scale? Why did this work for you even though many expected it would not? Where does cloud fit into modern vulnerability management? How does AI help vulnerability manage
EP245 From Consumer Chatbots to Enterprise Guardrails: Securing Real AI Adoption
Guest: Rick Caccia, CEO and Co-Founder, Witness AI Topics: In what ways is the current wave of enterprise AI adoption different from previous technology shifts? If we say "but it is different this time", then why? What is your take on "consumer grade AI for business" vs enterprise AI? A lot of this sounds a bit like the CASB era circa 2014. How is this different with AI? The concept of "routin
EP244 The Future of SOAPA: Jon Oltsik on Platform Consolidation vs. Best-of-Breed in the Age of Agentic AI
Guest: Jon Oltsik, security researcher, ex-ESG analyst Topics: You invented the concept of SOAPA – Security Operations & Analytics Platform Architecture. As we look towards SOAPA 2025, how do you see the ongoing debate between consolidating security around a single platform versus a more disaggregated, best-of-breed approach playing out? What are the key drivers for either strategy in today's
EP243 Email Security in the AI Age: An Epic 2025 Arms Race Begins
Guest: Cy Khormaee, CEO, AegisAI Ryan Luo, CTO, AegisAI Topics: What is the state of email security in 2025? Why start an email security company now? Is it true that there are new and accelerating AI threats to email? It sounds cliche, but do you really have to use good AI to fight bad AI? What did you learn from your time fighting abuse at scale at Google that is helping you now How do you see
EP242 The AI SOC: Is This The Automation We've Been Waiting For?
Guest: Augusto Barros, Principal Product Manager, Prophet Security, ex-Gartner analyst Topics: What is your definition of "AI SOC"? What will AI change in a SOC? What will the post-AI SOC look like? What are the primary mechanisms by which AI SOC tools reduce attacker dwell time, and what challenges do they face in maintaining signal fidelity? Why would this wave of SOC automation (namely, A
EP241 From Black Box to Building Blocks: More Modern Detection Engineering Lessons from Google
Guest: Rick Correa,Uber TL Google SecOps, Google Cloud Topics: On the 3rd anniversary of Curated Detections, you've grown from 70 rules to over 4700. Can you walk us through that journey? What were some of the key inflection points and what have been the biggest lessons learned in scaling a detection portfolio so massively? Historically the SecOps Curated Detection content was opaque, which l
EP240 Cyber Resiliency for the Rest of Us: Making it Happen on a Real-World Budget
Guest: Errol Weiss, Chief Security Officer (CSO) at Health-ISAC Topics: How adding digital resilience is crucial for enterprises? How to make the leaders shift from "just cybersecurity" to "digital resilience"? How to be the most resilient you can be given the resources? How to be the most resilient with the least amount of money? How to make yourself a smaller target? Smaller target measures
EP239 Linux Security: The Detection and Response Disconnect and Where Is My Agentless EDR
Guest: Craig H. Rowland, Founder and CEO, Sandfly Security Topics: When it comes to Linux environments – spanning on-prem, cloud, and even–gasp–hybrid setups – where are you seeing the most significant blind spots for security teams today? There's sometimes a perception that Linux is inherently more secure or less of a malware target than Windows. Could you break down some of the fundamental d
EP238 Google Lessons for Using AI Agents for Securing Our Enterprise
Guest: Dominik Swierad, Senior PM D&R AI and Sec-Gemini Topics: When introducing AI agents to security teams at Google, what was your initial strategy to build trust and overcome the natural skepticism? Can you walk us through the very first conversations and the key concerns that were raised? With a vast array of applications, how did you identify and prioritize the initial use cases for AI a
EP237 Making Security Personal at the Speed and Scale of TikTok
Guest: Kim Albarella, Global Head of Security, TikTok Questions: Security is part of your DNA. In your day to day at TikTok, what are some tips you'd share with users about staying safe online? Many regulations were written with older technologies in mind. How do you bridge the gap between these legacy requirements and the realities of a modern, microservices-based tech stack like TikTok's, ens
EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI
Guest: Manija Poulatova, Director of Security Engineering and Operations at Lloyd's Banking Group Topics: SIEM migration is hard, and it can take ages. Yours was - given the scale and the industry - on a relatively short side of 9 months. What's been your experience so far with that and what could have gone faster? Anton might be a "reformed" analyst but I can't resist asking a three legged s
EP235 The Autonomous Frontier: Governing AI Agents from Code to Courtroom
Guest: Anna Gressel, Partner at Paul, Weiss, one of the AI practice leads Episode co-host: Marina Kaganovich, Office of the CISO, Google Cloud Questions: Agentic AI and AI agents, with its promise of autonomous decision-making and learning capabilities, presents a unique set of risks across various domains. What are some of the key areas of concern for you? What frameworks are most relevant
EP234 The SIEM Paradox: Logs, Lies, and Failing to Detect
Guest: Svetla Yankova, Founder and CEO, Citreno Topics: Why do so many organizations still collect logs yet don't detect threats? In other words, why is our industry spending more money than ever on SIEM tooling and still not "winning" against Tier 1 ... or even Tier 5 adversaries? What are the hardest parts about getting the right context into a SOC analyst's face when they're triaging and in
EP233 Product Security Engineering at Google: Resilience and Security
Guest: Cristina Vintila, Product Security Engineering Manager, Google Cloud Topic: Could you share insights into how Product Security Engineering approaches at Google have evolved, particularly in response to emerging threats (like Log4j in 2021)? You mentioned applying SRE best practices in detection and response, and overall in securing the Google Cloud products. How does Google balance high
EP232 The Human Element of Privacy: Protecting High-Risk Targets and Designing Systems
Guest: Sarah Aoun, Privacy Engineer, Google Topic: You have had a fascinating career since we [Tim] graduated from college together – you mentioned before we met that you've consulted with a literal world leader on his personal digital security footprint. Maybe tell us how you got into this field of helping organizations treat sensitive information securely and how that led to helping keep targ
EP231 Beyond the Buzzword: Practical Detection as Code in the Enterprise
Guest: David French, Staff Adoption Engineer, Google Cloud Topic: Detection as code is one of those meme phrases I hear a lot, but I'm not sure everyone means the same thing when they say it. Could you tell us what you mean by it, and what upside it has for organizations in your model of it? What gets better for security teams and security outcomes when you start managing in a DAC world? What i
EP230 AI Red Teaming: Surprises, Strategies, and Lessons from Google
Guest: Daniel Fabian, Principal Digital Arsonist, Google Topic: Your RSA talk highlights lessons learned from two years of AI red teaming at Google. Could you share one or two of the most surprising or counterintuitive findings you encountered during this process? What are some of the key differences or unique challenges you've observed when testing AI-powered applications compared to tradition
EP229 Beyond the Hype: Debunking Cloud Breach Myths (and What DBIR Says Now)
Guest: Alex Pinto, Associate Director of Threat Intelligence, Verizon Business, Lead the Verizon Data Breach Report Topics: How would you define "a cloud breach"? Is that a real (and different) thing? Are cloud breaches just a result of leaked keys and creds? If customers are responsible for 99% of cloud security problems, is cloud breach really about a customer being breached? Are misconfig
EP228 SIEM in 2025: Still Hard? Reimagining Detection at Cloud Scale and with More Pipelines
Guest Alan Braithwaite, Co-founder and CTO @ RunReveal Topics: SIEM is hard, and many vendors have discovered this over the years. You need to get storage, security and integration complexity just right. You also need to be better than incumbents. How would you approach this now? Decoupled SIEM vs SIEM/EDR/XDR combo. These point in the opposite directions, which side do you think will win? In
EP227 AI-Native MDR: Betting on the Future of Security Operations?
Guests: Eric Foster, CEO of Tenex.AI Venkata Koppaka, CTO of Tenex.AI Topics: Why is your AI-powered MDR special? Why start an MDR from scratch using AI? So why should users bet on an "AI-native" MDR instead of an MDR that has already got its act together and is now applying AI to an existing set of practices? What's the current breakdown in labor between your human SOC analysts vs your AI SO
EP226 AI Supply Chain Security: Old Lessons, New Poisons, and Agentic Dreams
Guest: Christine Sizemore, Cloud Security Architect, Google Cloud Topics: Can you describe the key components of an AI software supply chain, and how do they compare to those in a traditional software supply chain? I hope folks listening have heard past episodes where we talked about poisoning training data. What are the other interesting and unexpected security challenges and threats assoc
EP225 Cross-promotion: The Cyber-Savvy Boardroom Podcast: EP2 Christian Karam on the Use of AI
Hosts: David Homovich, Customer Advocacy Lead, Office of the CISO, Google Cloud Alicja Cade, Director, Office of the CISO, Google Cloud Guest: Christian Karam, Strategic Advisor and Investor Resources: EP2 Christian Karam on the Use of AI (as aired originally) The Cyber-Savvy Boardroom podcast site The Cyber-Savvy Boardroom podcast on Spotify The Cyber-Savvy Boardroom podcast on Apple
EP224 Protecting the Learning Machines: From AI Agents to Provenance in MLSecOps
Guest: Diana Kelley, CSO at Protect AI Topics: Can you explain the concept of "MLSecOps" as an analogy with DevSecOps, with 'Dev' replaced by 'ML'? This has nothing to do with SecOps, right? What are the most critical steps a CISO should prioritize when implementing MLSecOps within their organization? What gets better when you do it? How do we adapt traditional security testing, like vulnerab
EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025
Guests: no guests, just us in the studio Topics: At RSA 2025, did we see solid, measurably better outcomes from AI use in security, or mostly just "sizzle" and good ideas with potential? Are the promises of an "AI SOC" repeating the mistakes seen with SOAR in previous years regarding fully automated security operations? Does "AI SOC" work according to RSA floor? How realistic is the vision exp
EP222 From Post-IR Lessons to Proactive Security: Deconstructing Mandiant M-Trends
Guests: Kirstie Failey @ Google Threat Intelligence Group Scott Runnels @ Mandiant Incident Response Topics: What is the hardest thing about turning distinct incident reports into a fun to read and useful report like M-Trends? How much are the lessons and recommendations skewed by the fact that they are all "post-IR" stories? Are "IR-derived" security lessons the best way to improve security?
EP221 Special - Semi-Live from Google Cloud Next 2025: AI, Agents, Security ... Cloud?
Guests: No guests [Tim in Vegas and Anton remote] Topics: So, another Next is done. Beyond the usual Vegas chaos, what was the overarching security theme or vibe you [Tim] felt dominated the conference this year? Thinking back to Next '24, what felt genuinely different this year versus just the next iteration of last year's trends? Last year, we pondered the 'Cloud Island' vs. 'Cloud Peninsula'
EP220 Big Rewards for Cloud Security: Exploring the Google VRP
Guests: Michael Cote, Cloud VRP Lead, Google Cloud Aadarsh Karumathil, Security Engineer, Google Cloud Topics: Vulnerability response at cloud-scale sounds very hard! How do you triage vulnerability reports and make sure we're addressing the right ones in the underlying cloud infrastructure? How do you determine how much to pay for each vulnerability? What is the largest reward we paid? What wa
EP219 Beyond the Buzzwords: Decoding Cyber Risk and Threat Actors in Asia Pacific
Guest: Steve Ledzian, APAC CTO, Mandiant at Google Cloud Topics: We've seen a shift in how boards engage with cybersecurity. From your perspective, what's the most significant misconception boards still hold about cyber risk, particularly in the Asia Pacific region, and how has that impacted their decision-making? Cybersecurity is rife with jargon. If you could eliminate or redefine one overuse
EP218 IAM in the Cloud & AI Era: Navigating Evolution, Challenges, and the Rise of ITDR/ISPM
Guest: Henrique Teixeira, Senior VP of Strategy, Saviynt, ex-Gartner analyst Topics: How have you seen IAM evolve over the years, especially with the shift to the cloud, and now AI? What are some of the biggest challenges and opportunities these two shifts present? ITDR (Identity Threat Detection and Response) and ISPM (Identity Security Posture Management) are emerging areas in IAM. How do yo
EP217 Red Teaming AI: Uncovering Surprises, Facing New Threats, and the Same Old Mistakes?
Guest: Alex Polyakov, CEO at Adversa AI Topics: Adversa AI is known for its focus on AI red teaming and adversarial attacks. Can you share a particularly memorable red teaming exercise that exposed a surprising vulnerability in an AI system? What was the key takeaway for your team and the client? Beyond traditional adversarial attacks, what emerging threats in the AI security landscape are you
EP216 Ephemeral Clouds, Lasting Security: CIRA, CDR, and the Future of Cloud Investigations
Guest: James Campbell, CEO, Cado Security Chris Doman, CTO, Cado Security Topics: Cloud Detection and Response (CDR) vs Cloud Investigation and Response Automation(CIRA) ... what's the story here? There is an "R" in CDR, right? Can't my (modern) SIEM/SOAR do that? What about this becoming a part of modern SIEM/SOAR in the future? What gets better when you deploy a CIRA (a) and your CIRA in par
EP215 Threat Modeling at Google: From Basics to AI-powered Magic
Guest: Meador Inge, Security Engineer, Google Cloud Topics: Can you walk us through Google's typical threat modeling process? What are the key steps involved? Threat modeling can be applied to various areas. Where does Google utilize it the most? How do we apply this to huge and complex systems? How does Google keep its threat models updated? What triggers a reassessment? How does Google opera
EP214 Reconciling the Impossible: Engineering Cloud Systems for Diverging Regulations
Guest: Archana Ramamoorthy, Senior Director of Product Management, Google Cloud Topics: You are responsible for building systems that need to comply with laws that are often mutually contradictory. It seems technically impossible to do, how do you do this? Google is not alone in being a global company with local customers and local requirements. How are we building systems that provide local co
EP213 From Promise to Practice: LLMs for Anomaly Detection and Real-World Cloud Security
Guest: Yigael Berger, Head of AI, Sweet Security Topic: Where do you see a gap between the "promise" of LLMs for security and how they are actually used in the field to solve customer pains? I know you use LLMs for anomaly detection. Explain how that "trick" works? What is it good for? How effective do you think it will be? Can you compare this to other anomaly detection methods? Also, won't t
EP212 Securing the Cloud at Scale: Modern Bank CISO on Metrics, Challenges, and SecOps
Guest: Dave Hannigan, CISO at Nu Bank Topics: Tell us about the challenges you're facing as CISO at NuBank and how are they different from your past life at Spotify? You're a big cloud based operation - what are the key challenges you're tracking in your cloud environments? What lessons do you wish you knew back in your previous CISO run [at Spotify]? What metrics do your team report for yo
Recommended
Learn English B1 with Daily News | English Listening Practice
Bad Friends
The Swerve Podcast: Obscure Topics | Conspiracy Theories
The Bread and Banter Podcast
The Church of What's Happening Now: The New Testament
Deadline: White House
English Vocabulary Help
این نقطه
Solved Murders - True Crime Stories
紐約鳥｜New York Aperture
Doctor Zhivago Slow Read
Apple News In Conversation
