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

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)

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