Cloud Security Podcast by Google

Guest:  Erlander Lo, Security and Compliance Specialist @ Google Cloud Topics: Imagine you are planning a data warehouse in the cloud, how do you think about security? What are the expected threats to a large data store in the cloud? How to create your security approach for a data warehouse project? Are there regulations that force your decisions about security controls or  approaches, no matter what the threats are? How do you approach data governance for this project? What controls are there to implement in Google Cloud for a secure data warehouse effort? Resources: Secure Data Warehouse blueprint (other blueprints) Creativity Inc book “Data Governance: The Definitive Guide” book

Guests: Brandie Anderson, Global Security Practice Lead @ Google Cloud Renzo Cuadros,  Regional Security Practice Lead @ Google Cloud Topics: What are your Cloud migration security lessons? Greatest hits? Near misses? What are the most common cloud security mistakes you see? Any practices or tricks to avoid or mitigate them? How do you talk people out of security “lift and shift”? Do clients understand how threat models change when they migrate to the cloud? How clients typically handle compliance in the cloud? What regulations are the most challenging in the cloud? What is the future for cloud migration security?  Do we foresee a future when most data is created in the cloud and there is no need to migrate anything? Resources: “Building Secure & Reliable Systems” book Google Cloud Architecture Framework “Threat Models and Cloud Security” (ep12) Modernizing compliance: Introducing Risk and Compliance as Code

Guest:  Anna Belak,  Director of Thought Leadership @ Sysdig Topics: One model for container security is “Infrastructure security  | build security | runtime security” -  which is most important to get right? Which is hardest to get right?  How are you helping users get their infrastructure security right, and what do they get wrong most often here? Your report states that “3⁄4 of running containers have at least one "high" or "critical" vulnerability“ and it  sounds like pre-cloud IT, but this is about containers?  This was very true  before cloud, why is this still true in cloud native?  Aren’t containers easy to “patch” and redeploy?  You say  “Whether the container images originate from private or public registries, it is critical to scan them and identify known vulnerabilities prior to deploying into production.“ but then 75% have critical vulns? Is the problem that 75% of containers go unscanned, or that users just don’t fix things?   “52% of all images are scanned in runtime, and 42% are initially scanned in the CI/CD pipeline.“ - isn’t pipeline and repo scanning easier and cheaper? Why isn’t this 90/10 but 40/50?  “62% detect shells in containers” sounds (to Anton) that “62% zoos have a dragon in them” i.e. kinda surreal. What’s the real story? Containers are at the forefront of cloud native computing yet your report seems to show a lot of pre-cloud practices? Are containers just VMs and VMs just servers?  Resources: Sysdig report Kubernetes podcast episode with Anna Belak  EP15 Scaling Google Kubernetes Engine Security Sysdig learning hub

Guest:  Amos Stern, CEO of SIEMplify, now part of Google Cloud Topics: SOAR is in the news again,  so what can we say about the state of SOAR in 2022? What have we learned trying to get SOAR adopted 2015-2022 (that’s 7 years of SOAR-ing for you)? What are the top playbooks to start your SOC automation using SOAR?  What about the links between SOAR as security automation and general IT automation?  Does the level of consolidation in this market mean that SOAR really is a feature of SIEMs and not a product in its own right? Resources: Siemplify blog Google Cloud Security Talks Q1 2022

Guest: Vijay Bolina, CISO at DeepMind Topics: We spend a lot of time on Artificial Intelligence (AI) safety, but what about security?  What are some of the useful frameworks for thinking about AI security? What is different about securing AI vs securing another data-intensive, complex, enterprise application? What do we know about threat modeling for AI applications? What attacks against AI systems do we expect to see first in real life? What issues with AI security should we expect to face in 3-5 years? Resources: DeepMind Learning Resources DEFCON AI Village and videos CAMLIS 

Guest:  Vandy Ramadurai, Product Manager at Google Cloud Topics: What is Cloud Organization Policy, and how is it different from IaC and Policy as code (PaC)? What does successful organization policy design look like from a business and human standpoint? From a technical standpoint? Granular policy work is always hard. How is Google helping users get org policy right?  What are the uniquely Google strengths here?  Is the AI involved real or is this marketing pixie dust AI? How do users know if something should be a proactive control like a guardrail or if something should be a reactive control like a detection? Resources: Policy Intelligence tools NEXT'21 SEC 203 - Governance guardrails Least privilege for Cloud Functions using Cloud IAM

Guest: Elie Bursztein, security, anti-abuse and privacy researcher @ Google Topics: This episode draws on a talk available in the podcast materials. Could you summarize the gist of your talk for the audience? What makes the malicious document problem a good candidate for machine learning (ML)? Could you have used rules? “Millions of documents in milliseconds,” not sure how to even parse it - what is involved in making it work? Can you explain to the listeners the motivation for reanalyzing old samples, what ground truth means in ML/detection engineering, and how you are using this technique? How fast do the attackers evolve and does this throw ML logic off? Do our efforts at cat-and-mouse with attackers make the mice harder for other people to catch?  Does massive-scale ML detections accelerate the attacker's evolution? Resources: The RSA talk “Malicious Documents Emerging Trends: A Gmail Perspective” “EP40 2021: Phishing is Solved?” episode Elie’s talks on his site

Guest: Taylor Lehmann, Director at the Office of the  CISO @ Google Cloud, member of Cybersecurity Action Team Topics: What’s top of mind for healthcare organizations’ CISOs now? What common advice do you find yourself giving most often to security leaders in healthcare? Is there a list of top 3 items or is this all “it depends”? What regulations are shaping the healthcare industry and its adoption of new technology? HIPAA is from 1996, how does it work for the cloud in the 2020s? Why do you think we aren’t seeing more cloud ransomware? Healthcare orgs are sometimes seen as “IT laggards”, what are the key security lessons from their cloud migrations? How do we convince some of these organizations that cloud is more secure as long as they use it securely?

Guest: Nelly Porter, Group Product Manager @ Google Cloud Topics In the past year, what has changed with Confidential Computing here at Google? Could we please talk about a user or two who has really nailed it with our Confidential Computing?  What have we learned about the threat models of clients who are choosing to deploy Confidential Computing? What are they solving for? Doing Confidential Computing “right” feels like a lot more than having some fancy CPUs with magic math. What challenges do customers face adopting it?  We finally “married” Confidential Computing with EKM. What types of clients are deploying this new technology? What threats are they mitigating? What’s on the horizon for Confidential Computing?  Resources: “Trust Google Cloud more with ubiquitous data encryption” The Confidential Computing Consortium whitepapers Confidential Computing at Google EP12 Threat Models and Cloud Security

Guest: Phil Venables (@philvenables), Vice President, Chief Information Security Officer (CISO) @ Google Cloud Topics: Explain the whole cloud security megatrend concept to us? How can we better explain that “yes, cloud is more secure than most client’s data centers”? Can you please explain "shared fate" one more time? Shared fate seems to require shared incentives. Do we see the incentives to invest in security changing within organizations migrating to Cloud? Cloud as the Digital Immune System sounds really cool, what does it mean for a typical practitioner - security and developers both? What about the risk aggregation (eggs in one basket) argument against relying on CSP for all security? Does software sovereignty mean that Cloud providers are always going to be held to common standards and lose out on the opportunity to sell highly differentiated software on top? Resources: IT Leaders: Pay Attention To These 8 Security Megatrends In 2022 Megatrends drive cloud adoption—and improve security for all