Cloud Security Podcast by Google

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?
What are the most notable and fun announcements?
With patching speed, are we looking at something which can be overcome by engineering and courage? Or are we looking at something that is truly an impossibility? 
Resources:
Video version
EP221 Special - Semi-Live from Google Cloud Next 2025: AI, Agents, Security ... Cloud?
Next '26: Redefining security for the AI era with Google Cloud and Wiz
Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit Speed. So?
EP169 Google Cloud Next 2024 Recap: Is Cloud an Island, So Much AI, Bots in SecOps
Defending Your Enterprise When AI Models Can Find Vulnerabilities Faster Than Ever
EP137 Next 2023 Special: Conference Recap - AI, Cloud, Security, Magical Hallway Conversations
260 things we announced at Google Cloud Next '26 – a recap

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 toward a world of autonomous agents, how does our approach to machine identity need to change? Are we just talking about more complex Service Accounts, or do we need a fundamental shift in how we authorize "intent"
What is your  advice  to people who want to move fast and cannot wait for Secure by Design / Default  AI to be decided by consensus or IETF, NIST or OASIS committee?
We love the argument that modern AI agents are effectively repeating the mistakes of 1960s payphones - mixing the data plane and the control plane. What is your rebuttal? How do we build "Agentic Security" that doesn't fall for 60-year-old traps?
Customers are torn between their Zero Trust implementations and their AI adoption. Is Zero Trust now "legacy," or is it the prerequisite for everything we're trying to do with AI agents?  
Is there Zero Trust for AI? Is this a fake buzzword or technical reality?
Resources:
Video version
EP256 Rewiring Democracy & Hacking Trust: Bruce Schneier on the AI Offense-Defense Balance
EP133 The Shared Problem of Alerting: More SRE Lessons for Security
EP85 Deploy Security Capabilities at Scale: SRE Explains How
Google SRE books
"Atomic Accidents" book (yes, really)

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 AI complicate that boundary?
Can AI actually automate the translation of fragmented rules into evidence, or are we just dreaming?
How do we navigate the collision between transparency (logging everything) and privacy (recording nothing)?
What is your one piece of practical advice for leaders helping their teams adopt AI?
Resources:
Video version
EP14 Making Compliance Cloud-native
EP161 Cloud Compliance: A Lawyer - Turned Technologist! - Perspective on Navigating the Cloud
EP258 Why Your Security Strategy Needs an Immune System, Not a Fortress with Royal Hansen
EP126 What is Policy as Code and How Can It Help You Secure Your Cloud Environment?

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, encryption, high bandwidth, etc?
Is the value of NDR the same, or different, when it comes to public (or private) cloud?
How does NDR fill visibility gaps that identity and agent-based solutions cannot?
What does NDR offer that built-in cloud security tooling (as of right now) does not? Would you call NDR a key cloud security control?
Does NDR help with shadow AI?
NDR elephant in the room is sometimes cost. How does cost change the value prop when compared to on-premise or physical infrastructure?
Resources:
Video version
EP267 AI SOC or AI in a SOC? Cutting Through Hype, Pricing Models, and SIEM Detection Efficacy with Raffy Marty
EP113 Love it or Hate it, Network Security is Coming to the Cloud
EP154 Mike Schiffman: from Blueboxing to LLMs via Network Security at Google
EP115 How to Approach Cloud in a Cloudy Way, not As Somebody Else's Computer?
EP263 SOC Refurbishing: Why New Tools Won't Fix Broken Processes (Even With AI)
"The GC+CISO Connection Book" book

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 agentic layer doing the heavy lifting? 
You've argued for AI-native over AI-bolted-on. For an end user, what are the tangible differences of using "AI inside a legacy SIEM" versus using an "AI-native separate product"?
What is the one task you thought AI would handle by now that still requires a senior human analyst to step in?
If a CISO is using an AI MDR, "Mean Time to Detect" (MTTD) starts to look like a vanity metric because the machine is instant. What is the new golden metric for an AI-powered SOC? Is it "Time to Context," "Reduction in Human Toil," or something else?
How do you help a skeptical SOC Manager—who has been burned by false positives for a decade—trust an autonomous agent to perform a "containment" action at 3:00 AM?  
Resources:
EP227 AI-Native MDR: Betting on the Future of Security Operations?
EP10 SIEM Modernization? Is That a Thing?
The original "10X" paper "Autonomic Security Operations: 10X Transformation of the Security Operations Center"