Cloud Security Podcast by Google Anton Chuvakin

Guests: 
no guests (just us!)
Topics:
What are some of the fun security-related launches from Next 2024 (sorry for our brief “marketing hat” moment!)?
Any fun security vendors we spotted “in the clouds”?
OK, what are our favorite sessions? Our own, right? Anything else we had time to go to?
What are the new security ideas inspired by the event (you really want to listen to this part! Because “freatures”...)
Any tricky questions at the end? Resources:
Live video (LinkedIn, YouTube) [live audio is not great in these]
15 must-attend security sessions at Next '24
Cloud CISO Perspectives: 20 major security announcements from Next ‘24
EP137 Next 2023 Special: Conference Recap - AI, Cloud, Security, Magical Hallway Conversations (last year!)
EP136 Next 2023 Special: Building AI-powered Security Tools - How Do We Do It?
EP90 Next Special - Google Cybersecurity Action Team: One Year Later!
A cybersecurity expert's guide to securing AI products with Google SAIF Next 2024 session
How AI can transform your approach to security Next 2024 session

Guests: 
Umesh Shankar, Distinguished Engineer, Chief Technologist for Google Cloud Security
Scott Coull, Head of Data Science Research, Google Cloud Security
Topics:
What does it mean to “teach AI security”? How did we make SecLM? And also: why did we make SecLM?
What can “security trained LLM” do better vs regular LLM?
Does making it better at security make it worse at other things that we care about?
What can a security team do with it today?  What are the “starter use cases” for SecLM?
What has been the feedback so far in terms of impact - both from practitioners but also from team leaders? Are we seeing the limits of LLMs for our use cases? Is the “LLM is not magic” finally dawning?
Resources:
“How to tackle security tasks and workflows with generative AI” (Google Cloud Next 2024 session on SecLM)
EP136 Next 2023 Special: Building AI-powered Security Tools - How Do We Do It?
EP144 LLMs: A Double-Edged Sword for Cloud Security? Weighing the Benefits and Risks of Large Language Models
Supercharging security with generative AI 
Secure, Empower, Advance: How AI Can Reverse the Defender’s Dilemma?
Considerations for Evaluating Large Language Models for Cybersecurity Tasks
Introducing Google’s Secure AI Framework
Deep Learning Security and Privacy Workshop 
Security Architectures for Generative AI Systems
ACM Workshop on Artificial Intelligence and Security
Conference on Applied Machine Learning in Information Security
 

Speakers:
 Maria Riaz, Cloud Counter-Abuse, Engineering Lead, Google Cloud
Topics:
What is “counter abuse”? Is this the same as security?
What does counter-abuse look like for GCP?
What are the popular abuse types we face? 
Do people use stolen cards to get accounts to then violate the terms with?
How do we deal with this, generally?
Beyond core technical skills, what are some of the relevant competencies for working in this space that would appeal to a diverse set of audience?
You have worked in academia and industry. What similarities or differences have you observed?
Resources / reading:
Video
EP165 Your Cloud Is Not a Pet - Decoding 'Shifting Left' for Cloud Security
P161 Cloud Compliance: A Lawyer - Turned Technologist! - Perspective on Navigating the Cloud
“Art of War” by Sun Tzu
“Dare to Lead” by Brene Brown
"Multipliers" by Liz Wiseman

Guests:
Evan Gilman, co-founder CEO of Spirl
Eli Nesterov, co-founder CTO of Spril
Topics:
Today we have IAM,  zero trust and security made easy. With that intro, could you give us the 30 second version of what a workload identity is and why people need them? 
What’s so spiffy about SPIFFE anyway? 
What’s different between this and micro segmentation of your network–why is one better or worse? 
You call your book “solving the bottom turtle” could you tell us what that means?
What are the challenges you’re seeing large organizations run into when adopting this approach at scale? 
Of all the things a CISO could prioritize, why should this one get added to the list? What makes this, which is so core to our internal security model–ripe for the outside world?
How people do it now, what gets thrown away when you deploy SPIFFE? Are there alternative?
SPIFFE is interesting, yet can a startup really “solve for the bottom turtle”? 
Resources:
SPIFFE  and Spirl
“Solving the Bottom Turtle” book [PDF, free]
“Surely You're Joking, Mr. Feynman!” book [also, one of Anton’s faves for years!]
“Zero Trust Networks” book
Workload Identity Federation in GCP

Guest:
Ahmad Robinson,  Cloud Security Architect, Google Cloud
Topics:
You’ve done a BlackHat webinar where you discuss a Pets vs Cattle mentality when it comes to cloud operations. Can you explain this mentality and how it applies to security?
What in your past led you to these insights?  Tell us more about your background and your journey to Google.  How did that background contribute to your team?
One term that often comes up on the show and with our customers is 'shifting left.'  Could you explain what 'shifting left' means in the context of cloud security? What’s hard about shift left, and where do orgs get stuck too far right?
A lot of “cloud people” talk about IaC and PaC but the terms and the concepts are occasionally confusing to those new to cloud. Can you briefly explain Policy as Code  and its security implications? Does PaC help or hurt security?
Resources:
“No Pets Allowed - Mastering The Basics Of Cloud Infrastructure” webinar
EP33 Cloud Migrations: Security Perspectives from The Field
EP126 What is Policy as Code and How Can It Help You Secure Your Cloud Environment?
EP138 Terraform for Security Teams: How to Use IaC to Secure the Cloud
 

Guest:
Jennifer Fernick, Senor Staff Security Engineer and UTL, Google
Topics:
Since one of us (!) doesn't have a PhD in quantum mechanics, could you explain what a quantum computer is and how do we know they are on a credible path towards being real threats to cryptography? How soon do we need to worry about this one?
We’ve heard that quantum computers are more of a threat to asymmetric/public key crypto than symmetric crypto. First off, why? And second, what does this difference mean for defenders?
Why (how) are we sure this is coming? Are we mitigating a threat that is perennially 10 years ahead and then vanishes due to some other broad technology change?
What is a post-quantum algorithm anyway? If we’re baking new key exchange crypto into our systems, how confident are we that we are going to be resistant to both quantum and traditional cryptanalysis? 
Why does NIST think it's time to be doing the PQC thing now? Where is the rest of the industry on this evolution?
How can a person tell the difference here between reality and snakeoil? I think Anton and I both responded to your initial email with a heavy dose of skepticism, and probably more skepticism than it deserved, so you get the rare on-air apology from both of us!
Resources:
Securing tomorrow today: Why Google now protects its internal communications from quantum threats
How Google is preparing for a post-quantum world
NIST PQC standards
PQ Crypto conferences
“Quantum Computation & Quantum Information” by Nielsen & Chuang book
“Quantum Computing Since Democritus” by Scott Aaronson book
EP154 Mike Schiffman: from Blueboxing to LLMs via Network Security at Google