EP215 Threat Modeling at Google: From Basics to AI-powered Magic

Cloud Security Podcast by Google

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محتوای ارائه شده توسط Anton Chuvakin. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Anton Chuvakin یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Squid Game: The Official Podcast

1
Keys and Knives - S3 Ep 1 26:28

19 روز پیش26:28

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دوست داشته شد

26:28

Squid Game is back—and this time, the knives are out. In the thrilling Season 3 premiere, Player 456 is spiraling and a brutal round of hide-and-seek forces players to kill or be killed. Hosts Phil Yu and Kiera Please break down Gi-hun’s descent into vengeance, Guard 011’s daring betrayal of the Game, and the shocking moment players are forced to choose between murdering their friends… or dying. Then, Carlos Juico and Gavin Ruta from the Jumpers Jump podcast join us to unpack their wild theories for the season. Plus, Phil and Kiera face off in a high-stakes round of “Hot Sweet Potato.” SPOILER ALERT! Make sure you watch Squid Game Season 3 Episode 1 before listening on. Play one last time. IG - @SquidGameNetflix X (f.k.a. Twitter) - @SquidGame Check out more from Phil Yu @angryasianman , Kiera Please @kieraplease and the Jumpers Jump podcast Listen to more from Netflix Podcasts . Squid Game: The Official Podcast is produced by Netflix and The Mash-Up Americans.…

حدود یک سال پیش 26:03

MP3•خانه قسمت

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 operationalize threat modeling information to prioritize security work and resource allocation? How does it influence your security posture?
What are the biggest challenges Google faces in scaling and improving its threat modeling practices? Any stories where we got this wrong?
How can LLMs like Gemini improve Google's threat modeling activities? Can you share examples of basic and more sophisticated techniques?
What advice would you give to organizations just starting with threat modeling?

Resources:

235 قسمت

#Tech #Anton Chuvakin #Cloudsecurity #Cybersecurity #Security #Cloud IT

EP215 Threat Modeling at Google: From Basics to AI-powered Magic

Cloud Security Podcast by Google

48 subscribers

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

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 operationalize threat modeling information to prioritize security work and resource allocation? How does it influence your security posture?
What are the biggest challenges Google faces in scaling and improving its threat modeling practices? Any stories where we got this wrong?
How can LLMs like Gemini improve Google's threat modeling activities? Can you share examples of basic and more sophisticated techniques?
What advice would you give to organizations just starting with threat modeling?

Resources:

235 قسمت

#Tech #Anton Chuvakin #Cloudsecurity #Cybersecurity #Security #Cloud IT

همه قسمت ها

Cloud Security Podcast by Google

1
EP234 The SIEM Paradox: Logs, Lies, and Failing to Detect 37:59

1 day پیش37:59

37:59

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 investigating an alert? Is it integration? SOAR playbook development? Data enrichment? All of the above? What are the organizational problems that keep organizations from getting the full benefit of the security operations tools they’re buying? Top SIEM mistakes? Is it trying to migrate too fast? Is it accepting a too slow migration? In other words, where are expectations tyrannical for customers? Have they changed much since 2015? Do you expect people to write their own detections? Detecting engineering seems popular with elite clients and nobody else, what can we do? Do you think AI will change how we SOC (Tim: “SOC” is not a verb?) in the next 1- 3 -5 years? Do you think that AI SOC tech is repeating the mistakes SOAR vendors made 10 years ago? Are we making the same mistakes all over again? Are we making new mistakes? Resources: EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025 EP231 Beyond the Buzzword: Practical Detection as Code in the Enterprise EP228 SIEM in 2025: Still Hard? Reimagining Detection at Cloud Scale and with More Pipelines EP202 Beyond Tiered SOCs: Detection as Code and the Rise of Response Engineering “RSA 2025: AI’s Promise vs. Security’s Past — A Reality Check” blog Citreno, The Backstory “Parenting Teens With Love And Logic” book (as a management book) “Security Correlation Then and Now: A Sad Truth About SIEM” blog (the classic from 2019)…

Cloud Security Podcast by Google

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EP233 Product Security Engineering at Google: Resilience and Security 25:44

۹ روز پیش25:44

25:44

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 reliability and operational excellence with the needs of detection and response (D&R)? How does Google decide which data sources and tools are most critical for effective D&R? How do we deal with high volumes of data? Resources: EP215 Threat Modeling at Google: From Basics to AI-powered Magic EP117 Can a Small Team Adopt an Engineering-Centric Approach to Cybersecurity? Podcast episodes on how Google does security EP17 Modern Threat Detection at Google EP75 How We Scale Detection and Response at Google: Automation, Metrics, Toil Google SRE book Google SRS book…

Cloud Security Podcast by Google

1
EP232 The Human Element of Privacy: Protecting High-Risk Targets and Designing Systems 31:37

16 روز پیش31:37

31:37

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 targeted individuals secure? You also work as a privacy engineer on Fuschia , Google’s new operating system kernel. How did you go from human rights and privacy to that? What are the key privacy considerations when designing an operating system for “ambient computing”? How do you design privacy into something like that? More importantly, not only “how do you do it”, but how do you convince people that you did do it? When we talk about "higher risk" individuals, the definition can be broad. How can an average person or someone working in a seemingly less sensitive role better assess if they might be a higher-risk target? What are the subtle indicators? Thinking about the advice you give for personal security beyond passwords and multi-factor auth, how much of effective personal digital hygiene comes down to behavioral changes versus purely technical solutions? Given your deep understanding of both individual security needs and large-scale OS design, what's one thing you wish developers building cloud services or applications would fundamentally prioritize about user privacy? Resources: Google privacy controls Advanced protection program…

Cloud Security Podcast by Google

1
EP231 Beyond the Buzzword: Practical Detection as Code in the Enterprise 30:40

23 روز پیش30:40

30:40

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 is primary, actual code or using SWE-style process for detection work? Not every SIEM has a good set of APIs for this, right? What’s a team to do in a world of no or low API support for this model? If we’re talking about as-code models, one of the important parts of regular software development is testing. How should teams think about testing their detection corpus? Where do we even start? Smoke tests? Unit tests? You talk about a rule schema–you might also think of it in code terms as a standard interface on the detection objects–how should organizations think about standardizing this, and why should they? If we’re into a world of detection rules as code and detections as code, can we also think about alert handling via code? This is like SOAR but with more of a software engineering approach, right? One more thing that stood out to me in your presentation was the call for sharing detection content. Is this between vendors, vendors and end users? Resources: Can We Have “Detection as Code”? Testing in Detection Engineering (Part 8) “So Good They Can't Ignore You: Why Skills Trump Passion in the Quest for Work You Love” book EP202 Beyond Tiered SOCs: Detection as Code and the Rise of Response Engineering EP181 Detection Engineering Deep Dive: From Career Paths to Scaling SOC Teams EP123 The Good, the Bad, and the Epic of Threat Detection at Scale with Panther Getting Started with Detection-as-Code and Google SecOps Detection Engineering Demystified: Building Custom Detections for GitHub Enterprise From soup to nuts: Building a Detection-as-Code pipeline David French - Medium Blog Detection Engineering Maturity Matrix…

Cloud Security Podcast by Google

1
EP230 AI Red Teaming: Surprises, Strategies, and Lessons from Google 26:11

30 روز پیش26:11

26:11

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 traditional software systems? Can you provide an example of a specific TTP that has proven effective against AI systems and discuss the implications for security teams looking to detect it? What practical advice would you give to organizations that are starting to incorporate AI red teaming into their security development lifecycle? What are some initial steps or resources you would recommend they explore to deepen their understanding of this evolving field? Resources: Video ( LinkedIn , YouTube ) Google's AI Red Team: the ethical hackers making AI safer EP217 Red Teaming AI: Uncovering Surprises, Facing New Threats, and the Same Old Mistakes? EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw EP198 GenAI Security: Unseen Attack Surfaces & AI Pentesting Lessons Lessons from AI Red Teaming – And How to Apply Them Proactively [RSA 2025]…

Cloud Security Podcast by Google

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EP229 Beyond the Hype: Debunking Cloud Breach Myths (and What DBIR Says Now) 35:05

۵ weeks پیش35:05

35:05

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 misconfigurations really responsible for so many cloud security breaches? How are we still failing at configuration? What parts of DBIR are not total “groundhog day” ? Something about vuln exploitation vs credential abuse in today’s breaches–what’s driving the shifts we’re seeing? DBIR Are we at peak ransomware? Will ransomware be here in 20 years? Will we be here in 20 years talking about it? How is AI changing the breach report, other than putting in hilarious footnotes about how the report is for humans to read and and is written by actual humans? Resources: Video ( LinkedIn , YouTube ) Verizon DBIR 2025 EP222 From Post-IR Lessons to Proactive Security: Deconstructing Mandiant M-Trends EP205 Cybersecurity Forecast 2025: Beyond the Hype and into the Reality EP112 Threat Horizons - How Google Does Threat Intelligence EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025…

Cloud Security Podcast by Google

1
EP228 SIEM in 2025: Still Hard? Reimagining Detection at Cloud Scale and with More Pipelines 27:09

۶ weeks پیش27:09

27:09

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 a world where data volumes are exploding, especially in cloud environments, you're building a SIEM with ClickHouse as its backend, focusing on both parsed and raw logs. What's the core advantage of this approach, and how does it address the limitations of traditional SIEMs in handling scale? Cribl, Bindplane and “security pipeline vendors” are all the rage. Won’t it be logical to just include this into a modern SIEM? You're envisioning a 'Pipeline QL' that compiles to SQL , enabling 'detection in SQL.' This sounds like a significant shift, and perhaps not to the better? (Anton is horrified, for once) How does this approach affect detection engineering? With Sigma HQ support out-of-the-box, and the ability to convert SPL to Sigma, you're clearly aiming for interoperability. How crucial is this approach in your vision, and how do you see it benefiting the security community? What is SIEM in 2025 and beyond? What’s the endgame for security telemetry data? Is this truly SIEM 3.0, 4.0 or whatever-oh? Resources: EP197 SIEM (Decoupled or Not), and Security Data Lakes: A Google SecOps Perspective EP123 The Good, the Bad, and the Epic of Threat Detection at Scale with Panther EP190 Unraveling the Security Data Fabric: Need, Benefits, and Futures “20 Years of SIEM: Celebrating My Dubious Anniversary” blog “RSA 2025: AI’s Promise vs. Security’s Past — A Reality Check” blog tl;dr security newsletter Introducing a RunReveal Model Context Protocol Server! MCP: Building Your SecOps AI Ecosystem AI Runbooks for Google SecOps: Security Operations with Model Context Protocol…

Cloud Security Podcast by Google

1
EP227 AI-Native MDR: Betting on the Future of Security Operations? 23:58

۷ weeks پیش23:58

23:58

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 SOC agents? How do you expect this to evolve and how will that change your unit economics? What tasks are humans uniquely good at today’s SOC? How do you expect that to change in the next 5 years? We hear concerns about SOC AI missing things –but we know humans miss things all the time too. So how do you manage buyer concerns about the AI agents missing things? Let’s talk about how you’re helping customers measure your efficacy overall. What metrics should organizations prioritize when evaluating MDR? Resources: Video EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025 (quote from Eric in the title!) EP10 SIEM Modernization? Is That a Thing? Tenex.AI blog “RSA 2025: AI’s Promise vs. Security’s Past — A Reality Check” blog The original ASO 10X SOC paper that started it all (2021) “Baby ASO: A Minimal Viable Transformation for Your SOC” blog “The Return of the Baby ASO: Why SOCs Still Suck?” blog " Learn Modern SOC and D&R Practices Using Autonomic Security Operations (ASO) Principles " blog…

Cloud Security Podcast by Google

1
EP226 AI Supply Chain Security: Old Lessons, New Poisons, and Agentic Dreams 24:39

۸ weeks پیش24:39

24:39

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 associated with the AI software supply chain? We like to say that history might not repeat itself but it does rhyme – what are the rhyming patterns in security practices people need to be aware of when it comes to securing their AI supply chains? We’ve talked a lot about technology and process–what are the organizational pitfalls to avoid when developing AI software? What organizational "smells" are associated with irresponsible AI development? We are all hearing about agentic security – so can we just ask the AI to secure itself? Top 3 things to do to secure AI software supply chain for a typical org? Resources: Video “Securing AI Supply Chain: Like Software, Only Not” blog (and paper) “Securing the AI software supply chain” webcast EP210 Cloud Security Surprises: Real Stories, Real Lessons, Real "Oh No!" Moments Protect AI issue database “Staying on top of AI Developments” “Office of the CISO 2024 Year in Review: AI Trust and Security” “Your Roadmap to Secure AI: A Recap” (2024) " RSA 2025: AI’s Promise vs. Security’s Past — A Reality Check" (references our "data as code" presentation)…

Cloud Security Podcast by Google

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EP225 Cross-promotion: The Cyber-Savvy Boardroom Podcast: EP2 Christian Karam on the Use of AI 24:46

۹ weeks پیش24:46

24:46

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 Podcasts The Cyber-Savvy Boardroom podcast on YouTube Now hear this: A new podcast to help boards get cyber savvy (without the jargon) Board of Directors Insights Hub Guidance for Boards of Directors on How to Address AI Risk…

Cloud Security Podcast by Google

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EP224 Protecting the Learning Machines: From AI Agents to Provenance in MLSecOps 30:40

۹ weeks پیش30:40

30:40

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: “Airline held liable for its chatbot giving passenger bad advice - what this means for travellers” “ChatGPT Spit Out Sensitive Data When Told to Repeat ‘Poem’ Forever” Secure by Design for AI by Protect AI “Securing AI Supply Chain: Like Software, Only Not” OWASP Top 10 for Large Language Model Applications OWASP Top 10 for AI Agents (draft) MITRE ATLAS “Demystifying AI Security: New Paper on Real-World SAIF Applications” (and paper ) LinkedIn Course: Security Risks in AI and ML: Categorizing Attacks and Failure Modes…

Cloud Security Podcast by Google

1
EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025 31:37

10 weeks پیش31:37

31:37

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 expressed by some [yes, really!] that AI progress could lead to technical teams, including IT and security, shrinking dramatically or even to zero in a few years? Why do companies continue to rely on decades-old or “non-leading” security technologies, and what role does the concept of a "organizational change budget" play in this inertia? Is being "AI Native" fundamentally better for security technologies compared to adding AI capabilities to existing platforms, or is the jury still out? Got "an AI-native SIEM"? Be ready to explain how is yours better! Resources: EP172 RSA 2024: Separating AI Signal from Noise, SecOps Evolves, XDR Declines? EP119 RSA 2023 - What We Saw, What We Learned, and What We're Excited About EP70 Special - RSA 2022 Reflections - Securing the Past vs Securing the Future RSA (“RSAI”) Conference 2024 Powered by AI with AI on Top — AI Edition (Hey AI, Is This Enough AI?) [Anton’s RSA 2024 recap blog] New Paper: “Future of the SOC: Evolution or Optimization — Choose Your Path” (Paper 4 of 4.5) [talks about the change budget discussed]…

Cloud Security Podcast by Google

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EP222 From Post-IR Lessons to Proactive Security: Deconstructing Mandiant M-Trends 35:19

11 weeks پیش35:19

35:19

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? Isn’t this a bit like learning how to build safely from fires vs learning safety engineering? The report implies that F500 companies suffer from certain security issues despite their resources, does this automatically mean that smaller companies suffer from the same but more? "Dwell time" metrics sound obvious, but is there magic behind how this is done? Sometimes “dwell tie going down” is not automatically the defender’s win, right? What is the expected minimum dwell time? If “it depends”, then what does it depend on? Impactful outliers vs general trends (“by the numbers”), what teaches us more about security? Why do we seem to repeat the mistakes so much in security? Do we think it is useful to give the same advice repeatedly if the data implies that it is correct advice but people clearly do not do it? Resources: M-Trends 2025 report Mandiant Attack Lifecycle EP205 Cybersecurity Forecast 2025: Beyond the Hype and into the Reality EP147 Special: 2024 Security Forecast Report…

Cloud Security Podcast by Google

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EP221 Special - Semi-Live from Google Cloud Next 2025: AI, Agents, Security ... Cloud? 30:26

12 weeks پیش30:26

30:26

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'. Based on Next 2025, is cloud security becoming more integrated with general cyber security, or is it still its own distinct domain? What wider trends did you observe, perhaps from the expo floor buzz or partner announcements, that security folks should be aware of? What was the biggest surprise for you at Next 2025? Something you absolutely didn't see coming? Putting on your prediction hats (however reluctantly): based on Next 2025, what do you foresee as the major cloud security focus or challenge for the industry in the next 12 months? If a busy podcast listener listening could only take one key message or action item away from everything announced and discussed at Next 2025, what should it be? Resources: EP169 Google Cloud Next 2024 Recap: Is Cloud an Island, So Much AI, Bots in SecOps…

Cloud Security Podcast by Google

1
EP220 Big Rewards for Cloud Security: Exploring the Google VRP 29:13

12 weeks پیش29:13

29:13

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 was it for? What products get the most submissions? Is this driven by the actual product security or by trends and fashions like AI? What are the most likely rejection reasons? What makes for a very good - and exceptional? - vulnerability report? We hear we pay more for “exceptional” reports, what does it mean? In college Tim had a roommate who would take us out drinking on his Google web app vulnerability rewards. Do we have something similar for people reporting vulnerabilities in our cloud infrastructure? Are people making real money off this? How do we actually uniquely identify vulnerabilities in the cloud? CVE does not work well, right? What are the expected risk reduction benefits from Cloud VRP? Resources: Cloud VRP site Cloud VPR launch blog CVR: The Mines of Kakadûm…

Cloud Security Podcast by Google

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EP219 Beyond the Buzzwords: Decoding Cyber Risk and Threat Actors in Asia Pacific 31:46

13 weeks پیش31:46

31:46

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 overused term, which would it be and why? How does this overloaded language specifically hinder effective communication and action in the region? The Mandiant Attack Lifecycle is a well-known model. How has your experience in the East Asia region challenged or refined this model? Are there unique attack patterns or actor behaviors that necessitate adjustments? Two years post-acquisition, what's been the most surprising or unexpected benefit of the Google-Mandiant combination? M-Trends data provides valuable insights, particularly regarding dwell time. Considering the Asia Pacific region, what are the most significant factors reducing dwell time, and how do these trends differ from global averages? Given your expertise in Asia Pacific, can you share an observation about a threat actor's behavior that is often overlooked in broader cybersecurity discussions? Looking ahead, what's the single biggest cybersecurity challenge you foresee for organizations in the Asia Pacific region over the next five years, and what proactive steps should they be taking now to prepare? Resources: EP177 Cloud Incident Confessions: Top 5 Mistakes Leading to Breaches from Mandiant EP156 Living Off the Land and Attacking Critical Infrastructure: Mandiant Incident Deep Dive EP191 Why Aren't More Defenders Winning? Defender’s Advantage and How to Gain it!…

Cloud Security Podcast by Google

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EP218 IAM in the Cloud & AI Era: Navigating Evolution, Challenges, and the Rise of ITDR/ISPM 30:10

14 weeks پیش30:10

30:10

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 you see these fitting into the overall IAM landscape? Are they truly distinct categories or just extensions of existing IAM practices? Shouldn’t ITDR just be part of your Cloud DR or maybe even your SecOps tool of choice? It seems goofy to try to stand ITDR on its own when the impact of an identity compromise is entirely a function of what that identity can access or do, no? Regarding workload vs. human identity, could you elaborate on the unique security considerations for each? How does the rise of machine identities and APIs impact IAM approaches? We had a whole episode around machine identity that involved turtles–what have you seen in the machine identity space and how have you seen users mess it up? The cybersecurity world is full of acronyms. Any tips on how to create a memorable and impactful acronym? Resources: EP166 Workload Identity, Zero Trust and SPIFFE (Also Turtles!) EP182 ITDR: The Missing Piece in Your Security Puzzle or Yet Another Tool to Buy? EP127 Is IAM Really Fun and How to Stay Ahead of the Curve in Cloud IAM? EP94 Meet Cloud Security Acronyms with Anna Belak EP162 IAM in the Cloud: What it Means to Do It 'Right' with Kat Traxler EP199 Your Cloud IAM Top Pet Peeves (and How to Fix Them) EP188 Beyond the Buzzwords: Identity's True Role in Cloud and SaaS Security “Playing to Win: How Strategy Really Works” book “Open” book…

Cloud Security Podcast by Google

1
EP217 Red Teaming AI: Uncovering Surprises, Facing New Threats, and the Same Old Mistakes? 23:11

15 weeks پیش23:11

23:11

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 most concerned about right now? What trips most clients, classic security mistakes in AI systems or AI-specific mistakes? Are there truly new mistakes in AI systems or are they old mistakes in new clothing? I know it is not your job to fix it, but much of this is unfixable, right? Is it a good idea to use AI to secure AI? Resources: EP84 How to Secure Artificial Intelligence (AI): Threats, Approaches, Lessons So Far AI Red Teaming Reasoning LLM US vs China: Jailbreak Deepseek, Qwen, O1, O3, Claude, Kimi Adversa AI blog Oops! 5 serious gen AI security mistakes to avoid Generative AI Fast Followership: Avoid These First Adopter Security Missteps…

Cloud Security Podcast by Google

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EP216 Ephemeral Clouds, Lasting Security: CIRA, CDR, and the Future of Cloud Investigations 31:43

16 weeks پیش31:43

31:43

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 particular (b)? Ephemerality and security, what are the fun overlaps? Does “E” help “S” or hurts it? What about compliance? Ephemeral compliance sounds iffy… Cloud investigations, what is special about them? How does CSPM intersect with this? Is CIRA part of CNAPP? A secret question, need to listen for it! Resources: EP157 Decoding CDR & CIRA: What Happens When SecOps Meets Cloud EP67 Cyber Defense Matrix and Does Cloud Security Have to DIE to Win? EP158 Ghostbusters for the Cloud: Who You Gonna Call for Cloud Forensics Cloud security incidents (Rami McCarthy) Cado resources…

Cloud Security Podcast by Google

1
EP215 Threat Modeling at Google: From Basics to AI-powered Magic 26:03

17 weeks پیش26:03

26:03

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 operationalize threat modeling information to prioritize security work and resource allocation? How does it influence your security posture? What are the biggest challenges Google faces in scaling and improving its threat modeling practices? Any stories where we got this wrong? How can LLMs like Gemini improve Google's threat modeling activities? Can you share examples of basic and more sophisticated techniques? What advice would you give to organizations just starting with threat modeling? Resources: EP12 Threat Models and Cloud Security EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw EP200 Zero Touch Prod, Security Rings, and Foundational Services: How Google Does Workload Security EP140 System Hardening at Google Scale: New Challenges, New Solutions Threat Modeling manifesto EP176 Google on Google Cloud: How Google Secures Its Own Cloud Use Awesome Threat Modeling Adam Shostack “Threat Modeling: Designing for Security” book Ross Anderson “Security Engineering” book ”How to Solve It” book…

Cloud Security Podcast by Google

1
EP214 Reconciling the Impossible: Engineering Cloud Systems for Diverging Regulations 29:22

18 weeks پیش29:22

29:22

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 compliance with global consistency in their use for customers who are similar in scale to us? Originally, Google had global systems synchronized around the entire planet–planet scale supercompute–with atomic clocks. How did we get to regionalized approach from there? Engineering takes a long time. How do we bring enough agility to product definition and engineering design to give our users robust foundations in our systems that also let us keep up with changing and diverging regulatory goals? What are some of the biggest challenges you face working in the trusted cloud space? Is there something you would like to share about being a woman leader in technology? How did you overcome the related challenges? Resources: Video “Compliance Without Compromise” by Jeanette Manfra (2020, still very relevant!) “Good to Great” book “Appreciative Leadership” book…

Cloud Security Podcast by Google

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EP213 From Promise to Practice: LLMs for Anomaly Detection and Real-World Cloud Security 28:01

19 weeks پیش28:01

28:01

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 this be costly - how do you manage to keep inference costs under control at scale? SOC teams often grapple with the tradeoff between “seeing everything” so that they never miss any attack, and handling too much noise. What are you seeing emerge in cloud D&R to address this challenge? We hear from folks who developed an automated approach to handle a reviews queue previously handled by people. Inevitably even if precision and recall can be shown to be superior, executive or customer backlash comes hard with a false negative (or a flood of false positives). Have you seen this phenomenon, and if so, what have you learned about handling it? What are other barriers that need to be overcome so that LLMs can push the envelope further for improving security? So from your perspective, LLMs are going to tip the scale in whose favor - cybercriminals or defenders? Resource: EP157 Decoding CDR & CIRA: What Happens When SecOps Meets Cloud EP194 Deep Dive into ADR - Application Detection and Response EP135 AI and Security: The Good, the Bad, and the Magical Andrej Karpathy series on how LLMs work Sweet Security blog…

Cloud Security Podcast by Google

1
EP212 Securing the Cloud at Scale: Modern Bank CISO on Metrics, Challenges, and SecOps 33:16

20 weeks پیش33:16

33:16

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 you to understand the security posture of your cloud environments? How do you know “your” cloud use is as secure as you want it to be? You're a former Googler, and I'm sure that's not why, so why did you choose to go with Google SecOps for your organization? Resources: “Moving shields into position: How you can organize security to boost digital transformation” blog and the paper . “For a successful cloud transformation, change your culture first” blog “Is your digital transformation secure? How to tell if your team is on the right path” ’ blog EP201 Every CTO Should Be a CSTO (Or Else!) - Transformation Lessons from The Hoff EP104 CISO Walks Into the Cloud: And The Magic Starts to Happen! EP141 Cloud Security Coast to Coast: From 2015 to 2023, What's Changed and What's the Same? EP209 vCISO in the Cloud: Navigating the New Security Landscape (and Don’t Forget Resilience!) “Thinking Fast and Slow” book “Turn the Ship Around” book…

Cloud Security Podcast by Google

1
EP211 Decoding the Underground: Google's Dual-Lens Threat Intelligence Magic 26:02

21 weeks پیش26:02

26:02

Guest: Kimberly Goody , Head of Intel Analysis and Production, Google Cloud Topics: Google's Threat Intelligence Group (GTIG) has a unique position, accessing both underground forum data and incident response information. How does this dual perspective enhance your ability to identify and attribute cybercriminal campaigns? Attributing cyberattacks with high confidence is important. Can you walk us through the process GTIG uses to connect an incident to specific threat actors, given the complexities of the threat landscape and the challenges of linking tools and actors? There is a difficulty of correlating publicly known tool names with the aliases used by threat actors in underground forums. How does GTIG overcome this challenge to track the evolution and usage of malware and other tools? Can you give a specific example of how this "decoding" process works? How does GTIG collaborate with other teams within Google, such as incident response or product security, to share threat intelligence and improve Google's overall security posture? How does this work make Google more secure? What does Google (and specifically GTIG) do differently than other organizations focused on collecting and analyzing threat-intelligence? Is there AI involved? Resources: “Cybercrime: A Multifaceted National Security Threat” report EP112 Threat Horizons - How Google Does Threat Intelligence EP175 Meet Crystal Lister: From Public Sector to Google Cloud Security and Threat Horizons EP178 Meet Brandon Wood: The Human Side of Threat Intelligence: From Bad IP to Trafficking Busts “Wild Swans: Three Daughters of China” book How Google Does It: Making threat detection high-quality, scalable, and modern How Google Does It: Finding, tracking, and fixing vulnerabilities “From Credit Cards to Crypto: The Evolution of Cybercrime” video…

Cloud Security Podcast by Google

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EP210 Cloud Security Surprises: Real Stories, Real Lessons, Real "Oh No!" Moments 26:58

22 weeks پیش26:58

26:58

Guest: Or Brokman , Strategic Google Cloud Engineer, Security and Compliance, Google Cloud Topics: Can you tell us about one particular cloud consulting engagement that really sticks out in your memory? Maybe a time when you lifted the hood, so to speak, and were absolutely floored by what you found – good or bad! In your experience, what's that one thing – that common mistake – that just keeps popping up? That thing that makes you say 'Oh no, not this again!' 'Tools over process' mistake is one of the 'oldies.' What do you still think drives people to it, and how to fix it? If you could give just one piece of cloud security advice to every company out there, regardless of their size or industry, what would it be? Resources: Video ( YouTube ) “Threat Modeling: Designing for Security” by Adam Shostack EP16 Modern Data Security Approaches: Is Cloud More Secure? EP142 Cloud Security Podcast Ask Me Anything #AMA 2023 “For a successful cloud transformation, change your culture first” (OOT vs TOO blog) https://www.linkedin.com/in/stephrwong/ New Paper: “Autonomic Security Operations — 10X Transformation of the Security Operations Center” (2021)…

Cloud Security Podcast by Google

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EP209 vCISO in the Cloud: Navigating the New Security Landscape (and Don’t Forget Resilience!) 29:06

23 weeks پیش29:06

29:06

Guests: Beth Cartier , former CISO, vCISO, founder of Initiative Security Guest host of the CISO mini-series: Marina Kaganovich , Executive Trust Lead, Office of the CISO @ Google Cloud Topics: How is that vCISO’ing going? What is special about vCISO and cloud? Is it easier or harder? AI, cyber, resilience - all are hot topics these days. In the context of cloud security, how are you seeing organizations realistically address these trends? Are they being managed effectively (finally?) or is security always playing catch up? Recent events reminded us that cybersecurity may sometimes interfere with resilience. How have you looked to build resilience into your security program? The topic is perhaps 30+ years old, but security needs to have a seat at the table, and often still doesn’t - why do you think this is the case? What approaches or tips have you found to work well in elevating security within organizations? Any tips for how cyber professionals can stay up to date to keep up with the current threat landscape vs the threats that are around the corner? Resources: EP208 The Modern CISO: Balancing Risk, Innovation, and Business Strategy (And Where is Cloud?) EP189 How Google Does Security Programs at Scale: CISO Insights EP129 How CISO Cloud Dreams and Realities Collide EP104 CISO Walks Into the Cloud: And The Magic Starts to Happen! EP93 CISO Walks Into the Cloud: Frustrations, Successes, Lessons ... And Is My Data Secure?…

Cloud Security Podcast by Google

1
EP208 The Modern CISO: Balancing Risk, Innovation, and Business Strategy (And Where is Cloud?) 31:19

24 weeks پیش31:19

31:19

Guest host: Marina Kaganovich , Executive Trust Lead, Office of the CISO @ Google Cloud Guest: John Rogers , CISO @ MSCI Topics: Can you briefly walk us through your CISO career path? What are some of the key (cloud or otherwise) trends that CISOs should be keeping an eye on? What is the time frame for them? What are the biggest cloud security challenges CISOs are facing today, and how are those evolving? Given the rapid change of pace in emerging tech, such as what we’ve seen in the last year or so with gen AI, how do you balance the need to address short-term or imminent issues vs those that are long-term or emergent risks? What advice do you have for how CISOs can communicate the importance of anticipating threats to their boards and executives? So, how to be a forward looking and strategic yet not veer into dreaming, paranoia and imaginary risks? How to be futuristic yet realistic? The CISO role as an official title is a relatively new one, what steps have you taken to build credibility and position yourself for having a seat at the table? Resources: ATT&CK Framework EP189 How Google Does Security Programs at Scale: CISO Insights EP129 How CISO Cloud Dreams and Realities Collide EP104 CISO Walks Into the Cloud: And The Magic Starts to Happen! EP93 CISO Walks Into the Cloud: Frustrations, Successes, Lessons ... And Is My Data Secure?…

Cloud Security Podcast by Google

1
EP207 Slaying the Ransomware Dragon: Can a Startup Succeed? 32:55

25 weeks پیش32:55

32:55

Guest: Bob Blakley , Co-founder and Chief Product Officer of Mimic Topics: Tell us about the ransomware problem - isn't this a bit of old news? Circa 2015, right? What makes ransomware a unique security problem? What's different about ransomware versus other kinds of malware? What do you make of the “RansomOps” take (aka “ransomware is not malware”)? Are there new ways to solve it? Is this really a problem that a startup is positioned to solve? Aren’t large infrastructure owners better positioned for this? In fact, why haven't existing solutions solved this? Is this really a symptom of a bigger problem? What is that problem? What made you personally want to get into this space, other than the potential upside of solving the problem? Resources: EP206 Paying the Price: Ransomware's Rising Stakes in the Cloud EP89 Can We Escape Ransomware by Migrating to the Cloud? EP45 VirusTotal Insights on Ransomware Business and Technology EP204 Beyond PCAST: Phil Venables on the Future of Resilience and Leading Indicators EP7 No One Expects the Malware Inquisition Anderson Report (July 1972) “The Innovator Dilemma” book “Odyssey” book (yes, really) Crowdstrike External Technical Root Cause Analysis — Channel File 291 (yes, that one)…

Cloud Security Podcast by Google

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EP206 Paying the Price: Ransomware's Rising Stakes in the Cloud 33:01

26 weeks پیش33:01

33:01

Guest: Allan Liska , CSIRT at Recorded Future, now part of Mastercard Topics: Ransomware has become a pervasive threat. Could you provide us with a brief overview of the current ransomware landscape? It's often said that ransomware is driven by pure profit. Can you remind us of the business model of ransomware gangs, including how they operate, their organizational structures, and their financial motivations? Ransomware gangs are becoming increasingly aggressive in their extortion tactics. Can you shed some light on these new tactics, such as data leaks, DDoS attacks, and threats to contact victims' customers or partners? What specific challenges and considerations arise when dealing with ransomware in cloud environments, and how can organizations adapt their security strategies to mitigate these risks? What are the key factors to consider when deciding whether or not to pay the ransom? What is the single most important piece of advice you would give to organizations looking to bolster their defenses against ransomware? Resources: Video ( LinkedIn , YouTube ) 2024 Data Breach Investigations Report EP89 Can We Escape Ransomware by Migrating to the Cloud? EP45 VirusTotal Insights on Ransomware Business and Technology EP29 Future of EDR: Is It Reason-able to Suggest XDR? EP204 Beyond PCAST: Phil Venables on the Future of Resilience and Leading Indicators…

Cloud Security Podcast by Google

1
EP205 Cybersecurity Forecast 2025: Beyond the Hype and into the Reality 28:19

27 weeks پیش28:19

28:19

Guest: Andrew Kopcienski , Principal Intelligence Analyst, Google Threat Intelligence Group Questions: You have this new Cybersecurity Forecast 2025 report , what’s up with that? We are getting a bit annoyed about the fear-mongering on “oh, but attackers will use AI.” You are a threat analyst, realistically, how afraid are you of this? The report discusses the threat of compromised identities in hybrid environments (aka “no matter what you do, and where, you are hacked via AD”). What steps can organizations take to mitigate the risk of a single compromised identity leading to a significant security breach? Is this expected to continue? Is zero-day actually growing? The report seems to imply that, but aren’t “oh-days” getting more expensive every day? Many organizations still lag with detection, in your expertise, what approaches to detection actually work today? It is OK to say ”hire Managed Defense ”, BTW :-) We read the risk posed by the "Big Four" sections and they (to us) read like “hackers hack” and “APTs APT.” What is genuinely new and interesting here? Resources: Cybersecurity Forecast 2025 report Google Cloud Cybersecurity Forecast 2025 webinar EP147 Special: 2024 Security Forecast Report EP171 GenAI in the Wrong Hands: Unmasking the Threat of Malicious AI and Defending Against the Dark Side EP153 Kevin Mandia on Cloud Breaches: New Threat Actors, Old Mistakes, and Lessons for All Staying a Step Ahead: Mitigating the DPRK IT Worker Threat…

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EP215 Threat Modeling at Google: From Basics to AI-powered Magic