Most AI governance platforms today rely on post-hoc evaluations a model acts first, and another model judges later. But what happens when the judge itself is unreliable, delayed, or can be bypassed?
Our latest research, No Judge on the Wire, explores a different approach: runtime enforcement at the point of action, where policies are applied before an AI agent can access data, call tools, or execute workflows.
Trust in AI shouldn t depend on another AI watching after the fact. It should be built into the runtime itself.
