Upwind expands AI security across the entire stack

Upwind dropped their new product line this morning, and it's a pretty significant pivot. Instead of hunting for problems in just one layer of your AI stack, they're now offering coverage across the whole thing—from model training through inference to the infrastructure running it all. Why? Because vulnerabilities don't stay confined to one place, and most teams are still bolting together security solutions that don't talk to each other.

CEO Amiram Shachar published a detailed breakdown of their thinking, basically arguing that the traditional approach of securing AI is broken. You secure your model, then you secure your API, then you secure your deployment—and somehow gaps still exist between each step. Upwind's angle is different: they're building visibility and controls that span across those boundaries, catching issues that would otherwise slip through the cracks because no single tool was looking at the whole picture.

The timing makes sense. Teams are shipping AI features faster than ever, and the attack surface keeps growing. One bad model layer can tank your whole deployment. One overlooked dependency can compromise everything downstream. Upwind's betting that customers will pay for a platform that connects the dots instead of juggling five different point solutions.