Cloud Security Podcast by Google Anton Chuvakin

Guest:
Shan  Rao, Group Product Manager, Google 
Topics:
What are the unique challenges when securing AI for cloud environments, compared to traditional IT systems?
Your talk covers 5 risks, why did you pick these five? What are the five, and are these the worst?
Some of the mitigation seems the same for all risks. What are the popular SAIF mitigations that cover more of the risks?
Can we move quickly and securely with AI? How?
What future trends and developments do you foresee in the field of securing AI for cloud environments, and how can organizations prepare for them?
Do you think in 2-3 years AI security will be a separate domain or a part of … application security? Data security? Cloud security? 
Resource:
Video (LinkedIn, YouTube)  [live audio is not great in these]
“A cybersecurity expert's guide  to securing AI products with Google SAIF“ presentation
SAIF Site
“To securely build AI on Google Cloud, follow these best practices” (paper)
“Secure AI Framework (SAIF): A Conceptual Framework for Secure AI Systems” resources
Corey Quinn on X (long story why this is here… listen to the episode)

Guests:
None
Topics:
What have we seen at RSA 2024?
Which buzzwords are rising (AI! AI! AI!) and which ones are falling (hi XDR)?
Is this really all about AI? Is this all marketing?
Security platforms or focused tools, who is winning at RSA?
Anything fun going on with SecOps?
Is cloud security still largely about CSPM?
Any interesting presentations spotted?
Resources:
EP171 GenAI in the Wrong Hands: Unmasking the Threat of Malicious AI and Defending Against the Dark Side (RSA 2024 episode 1 of 2)
“From Assistant to Analyst: The Power of Gemini 1.5 Pro for Malware Analysis” blog
“Decoupled SIEM: Brilliant or Stupid?” blog
“Introducing Google Security Operations: Intel-driven, AI-powered SecOps” blog
“Advancing the art of AI-driven security with Google Cloud” blog

Guest:
Elie Bursztein, Google DeepMind Cybersecurity Research Lead, Google
 Topics:
Given your experience, how afraid or nervous are you about the use of GenAI by the criminals (PoisonGPT, WormGPT and such)?
What can a top-tier state-sponsored threat actor do better with LLM? Are there “extra scary” examples, real or hypothetical?
Do we really have to care about this “dangerous capabilities” stuff (CBRN)? Really really?
Why do you think that AI favors the defenders? Is this a long term or a short term view?
What about vulnerability discovery? Some people are freaking out that LLM will discover new zero days, is this a real risk?
 Resources:
“How Large Language Models Are Reshaping the Cybersecurity Landscape” RSA 2024 presentation by Elie (May 6 at 9:40AM)
“Lessons Learned from Developing Secure AI Workflows” RSA 2024 presentation by Elie (May 8, 2:25PM)
EP50 The Epic Battle: Machine Learning vs Millions of Malicious Documents
EP40 2021: Phishing is Solved?
EP135 AI and Security: The Good, the Bad, and the Magical
EP170 Redefining Security Operations: Practical Applications of GenAI in the SOC
EP168 Beyond Regular LLMs: How SecLM Enhances Security and What Teams Can Do With It
PyRIT LLM red-teaming tool
Accelerating incident response using generative AI
Threat Actors are Interested in Generative AI, but Use Remains Limited
OpenAI’s Approach to Frontier Risk
 

Guest:
Payal Chakravarty, Director of Product Management, Google SecOps, Google Cloud
Topics:
What are the different use cases for GenAI in security operations and how can organizations  prioritize them for maximum impact to their organization?
We’ve heard a lot of worries from people that GenAI will replace junior team members–how do you see GenAI enabling more people to be part of the security mission?
What are the challenges and risks associated with using GenAI in security operations?
We’ve been down the road of automation for SOCs before–UEBA and SOAR both claimed it–and AI looks a lot like those but with way more matrix math-what are we going to get right this time that we didn’t quite live up to last time(s) around?
Imagine a SOC or a D&R team of 2029. What AI-based magic is routine at this time? What new things are done by AI? What do humans do?
Resources:
Live video (LinkedIn, YouTube) [live audio is not great in these]
Practical use cases for AI in security operations, Cloud Next 2024 session by Payal
EP168 Beyond Regular LLMs: How SecLM Enhances Security and What Teams Can Do With It
EP169 Google Cloud Next 2024 Recap: Is Cloud an Island, So Much AI, Bots in SecOps
15 must-attend security sessions at Next '24
 

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