One of our key missions at BIML is to help establish the field of machine learning security. Towards that end, we welcome collaboration with academics and practitioners alike. The Stanford AI Cyber Lab straddles both targets at once.

We held our first meeting with Neil Deswani’s AI Cyber Lab March 26th. Neil is a well-known figure at the intersection of academic security (having taught many classes at Stanford where he earned his Ph.D.) and applied security (serving as CISO at Twitter and Lifelock after time spent at Yodlee and Google). These two plus decades of experience inform current innovation in cybersecurity and AI. (You may also know Neil as the author of Big Breaches: Cybersecurity Lessons for Everyone).

The AI Cyber Lab team encompasses seasoned CISOs and machine learning architects as well as college students focused on agentic AI and security. In this initial meeting, we introduced what BIML is focused on, defining Machine Learning Security and our unique approach. Gary delivered a quick informal presentation presentation.

We look forward to future collaboration and sharing research findings as we hack our way through the MLsec jungle.