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Cloud Security Podcast by Google

Anton Chuvakin
Cloud Security Podcast by Google
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  • 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 favorite Cloud-centric scenario for tabletop exercises? Ransomware? But there is little ransomware in the cloud, no? What are other good cloud tabletop scenarios? Resources: EP60 Impersonating Service Accounts in GCP and Beyond: Cloud Security Is About IAM? EP179 Teamwork Under Stress: Expedition Behavior in Cybersecurity Incident Response EP222 From Post-IR Lessons to Proactive Security: Deconstructing Mandiant M-Trends EP177 Cloud Incident Confessions: Top 5 Mistakes Leading to Breaches from Mandiant EP158 Ghostbusters for the Cloud: Who You Gonna Call for Cloud Forensics EP98 How to Cloud IR or Why Attackers Become Cloud Native Faster?  
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  • 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 organizational resilience during such a critical period, and how does that experience reshape your approach to future transformations? Many organizations are undergoing transformations, often heavily involving cloud technologies. From your perspective, what is the most crucial—and perhaps often overlooked—role a CISO plays in ensuring security is an enabler, not a roadblock, during such large-scale changes? Have you ever seen a CISO who is a cloud champion for the organization? Your best advice for a CISO meeting cloud for the first time? What is your best advice for a CISO meeting AI for the first time? How do you balance the continuous self-improvement and development with the day-to-day pressures and responsibilities? Resources: “A Day in the Life of a CISO: Personal Mentorship from 24+ Battle-Tested CISOs — Mentoring We Never Got” book “The Aspiring CIO and CISO: A career guide to developing leadership skills, knowledge, experience, and behavior” book EP201 Every CTO Should Be a CSTO (Or Else!) - Transformation Lessons from The Hoff EP101 Cloud Threat Detection Lessons from a CISO EP104 CISO Walks Into the Cloud: And The Magic Starts to Happen! EP129 How CISO Cloud Dreams and Realities Collide All CISO podcast episodes “Shadow Agents: A New Era of Shadow AI Risk in the Enterprise” blog “Blocking shadow agents won’t work. Here’s a more secure way forward” blog  
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  • 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 management today? What is real? What is this Risk Operations Center (ROC) concept and how it helps in vulnerability management? Resources: 2025 DBIR Report  Qualys ROC concept defined Qualys ROC-on conference Shaping the Future of Cyber Risk Management blog  Qualys State of Cyber Risk Assessment Report EP109 How Google Does Vulnerability Management: The Not So Secret Secrets!  
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  • 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 "routing prompts for risk and cost management" is intriguing. Can you elaborate on the architecture and specific AI engines Witness AI uses to achieve this, especially for large global corporations?  What are you seeing in the identity space for AI access? Can you give us a rundown of the different tradeoffs teams are making when it comes to managing identities for agents?  Resources: EP226 AI Supply Chain Security: Old Lessons, New Poisons, and Agentic Dreams EP173 SAIF in Focus: 5 AI Security Risks and SAIF Mitigations EP84 How to Secure Artificial Intelligence (AI): Threats, Approaches, Lessons So Far Witness AI blog Shadow Agents: A New Era of Shadow AI Risk in the Enterprise Blocking shadow agents won’t work. Here’s a more secure way forward Shadow AI Strikes Back: Enterprise AI Absent Oversight in the Age of Gen AI Cloud CISO Perspectives: How Google secures AI Agents “The Soul of a New Machine” book Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection  
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  • 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 complex environments? How can we have both “decoupling” and platformization going at the same time? With all the buzz around Generative AI and Agentic AI, how do you envision these technologies changing the future of the Security Operations Center (and SOAPA of course)?  Where do you see AI really work today in the SOC and what is the proof of that actually happening? What does a realistic "AI SOC" look like in the next few years, and what are the practical implications for security teams? “Integration” is always a hot topic in security - and it has been for decades. Within the context of SOAPA and the adoption of advanced analytics, where do you see the most critical integration challenges today – whether it's vendor-centric ecosystems, strategic partnerships, or the push for open standards? Resources: Jon Oltsik “The Cybersecurity Bridge” podcast (Anton on it) EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI EP242 The AI SOC: Is This The Automation We've Been Waiting For? EP202 Beyond Tiered SOCs: Detection as Code and the Rise of Response Engineering EP180 SOC Crossroads: Optimization vs Transformation - Two Paths for Security Operations Center EP170 Redefining Security Operations: Practical Applications of GenAI in the SOC EP73 Your SOC Is Dead? Evolve to Output-driven Detect and Respond! Daniel Suarez “Daemon” book and its sequel “Delta V”
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About Cloud Security Podcast by Google

Cloud Security Podcast by Google focuses on security in the cloud, delivering security from the cloud, and all things at the intersection of security and cloud. Of course, we will also cover what we are doing in Google Cloud to help keep our users' data safe and workloads secure. We’re going to do our best to avoid security theater, and cut to the heart of real security questions and issues. Expect us to question threat models and ask if something is done for the data subject’s benefit or just for organizational benefit. We hope you’ll join us if you’re interested in where technology overlaps with process and bumps up against organizational design. We’re hoping to attract listeners who are happy to hear conventional wisdom questioned, and who are curious about what lessons we can and can’t keep as the world moves from on-premises computing to cloud computing.
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