Blog

More teams are running open-weight models locally — for cost, for data sovereignty, for workloads that can’t touch a third-party API. Fewer are testing those models the way they’d test anything else before putting them near production. A benchmark score tells you how well a model writes code or answers trivia. It doesn’t tell you […]

And What We Found When We Tested It Ourselves Here’s what’s going on. Every major AI vendor publishes benchmark scores. Every hardware vendor publishes performance numbers. And every security team making a model procurement decision trusts those numbers to mean something about their deployment. They don’t. At least not the way most teams think. A