Guest:

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:

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

Cloud Security Podcast by Google