Shadow AI is a control problem, not a discovery problem
Discovery tools show you what is running. They cannot stop a thing. Here is how to think about closing the gap between visibility and enforcement.
Priya Venkatesan
VP Product
Article — lead image
Every shadow-AI report ends the same way: a long list of tools nobody approved, and no way to act on it.
Visibility without enforcement creates liability. Now you know, and you still cannot stop it — which is a worse position with auditors than not knowing at all.
Control means policy that runs at the point of action: block, allow, or hold for human approval, on every endpoint, for every software class.
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