Guest:

Topics:

Gary, you’ve been doing software security for many decades, so tell us: are we really behind on securing ML and AI systems?
If not SBOM for data or “DBOM”, then what? Can data supply chain tools or just better data governance practices help?
How would you threat model a system with ML in it or a new ML system you are building?
What are the key differences and similarities between securing AI and securing a traditional, complex enterprise system?
What are the key differences between securing the AI you built and AI you buy or subscribe to?
Which security tools and frameworks will solve all of these problems for us?

Resources:

EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw

Cloud Security Podcast by Google