Libsyn Directory

EP224 Protecting the Learning Machines: From AI Agents to Provenance in MLSecOps

Release Date: 05/12/2025

EP252 The Agentic SOC Reality: Governing AI Agents, Data Fidelity, and Measuring Success

Cloud Security Podcast by Google

Guests: , Deputy Group CISO, Allianz , 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 context of Allianz, how did you establish the governance framework for the SOC alert triage agents? Where did you draw the line between fully automated action and the mandatory "human-in-the-loop" for...

EP251 Beyond Fancy Scripts: Can AI Red Teaming Find Truly Novel Attacks?

Cloud Security Podcast by Google

Guest: , CEO at 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. Pentest reports are famous for becoming shelf-ware. How do you turn a complex AI finding into an actionable ticket for a developer, and more importantly, how do you help a CISO decide which of the thousand 'criticals' to...

EP250 The End of "Collect Everything"? Moving from Centralization to Data Access?

Cloud Security Podcast by Google

Guest: , CEO at , original founder of 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? Why do it in a pipeline, and not in a SIEM? We are unable to share enough practices between security teams. How are we fixing it? Is pipelines part of the answer? Do you have a piece of advice for people who want to do...

EP249 Data First: What Really Makes Your SOC 'AI Ready'?

Cloud Security Podcast by Google

Guest: , co-founder and CEO at 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 the SOC as a "Dr. Jekyll and Mr. Hyde" situation. Could you walk us through what you see as the "Jekyll"—the noble, beneficial promise of AI—and what are the factors that can turn it into the dangerous "Mr....

EP248 Cloud IR Tabletop Wins: How to Stop Playing Security Theater and Start Practicing

Cloud Security Podcast by Google

Guest: , 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:

EP247 The Evolving CISO: From Security Cop to Cloud & AI Champion

Cloud Security Podcast by Google

Guest: , Board Risk Advisor, Non-Executive Director & Author, former CISO Topics: Drawing from the 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...

EP246 From Scanners to AI: 25 Years of Vulnerability Management with Qualys CEO Sumedh Thakar

Cloud Security Podcast by Google

Guest: , President and CEO, 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: blog

EP245 From Consumer Chatbots to Enterprise Guardrails: Securing Real AI Adoption

Cloud Security Podcast by Google

Guest: , CEO and Co-Founder, 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...

EP244 The Future of SOAPA: Jon Oltsik on Platform Consolidation vs. Best-of-Breed in the Age of Agentic AI

Cloud Security Podcast by Google

Guest: , security researcher, ex-ESG analyst Topics: You invented the concept of – 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 “” 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...

EP243 Email Security in the AI Age: An Epic 2025 Arms Race Begins

Cloud Security Podcast by Google

Guest: , CEO, , CTO, 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 the future of email security and what role will AI play? Resources:

More Episodes

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 vulnerability scanning, SAST, and DAST, to effectively assess the security of machine learning models? Can we?
In the context of AI supply chain security, what is the essential role of third-party assessments, particularly regarding data provenance?
How can organizations balance the need for security logging in AI systems with the imperative to protect privacy and sensitive data? Do we need to decouple security from safety or privacy?
What are the primary security risks associated with overprivileged AI agents, and how can organizations mitigate these risks?
Top differences between LLM/chatbot AI security vs AI agent security?

Resources:

TOPICS