Stop “securing the model”—Secure the runtime instead

“Securing the AI model” sounds like a clean, fundable story. In practice, it’s often the wrong security target. In this episode of Pop Goes the Stack, F5's Lori MacVittie and Joel Moses are joined by Mark Menger to cut through the myth and focus on where the real risk lives: the inferencing server, the data sources it can reach, and the runtime environment that’s actually exposed to traffic.

They make the point plainly: a model file is usually just static weights, a heavy spreadsheet sitting at rest. If you trained a proprietary model, protecting that artifact matters. But most enterprises…