We built Verillian around one conviction: the organization that answers for what AI did should be the one in control of it, not the model vendor and not a security vendor's cloud. Everything else about us follows from that.
The short version runs in four steps, from the moment AI started acting to the layer that governs it where it acts.
AI crossed from drafting text to taking actions inside regulated work, and it didn't wait for an approval process. A clinician at two in the morning, staring at a chart that doesn't add up, will reach for whatever helps fastest, policy or no policy.
Security spent a decade perfecting detection, and AI that acts is where detection runs out: the report arrives after the action it describes. Nothing writes down what the AI was asked, what it did, or what came back. The industry's answer, visibility from another vendor's cloud, trades one loss of control for another.
A layer that runs on the device, where the work happens. You write the policy once and it reaches every machine, scoped to the role of the person at it. It enforces what you declared before an agent can act, with no model in the decision path. It seals what happened under a key only you hold. Nothing of yours reaches us, by architecture.
We'd rather under-claim and show you. What the product can't do is written down in one place, plainly, where your reviewer will look. And the record exists so you never have to take anyone's word for what your AI did, ours included.
The story above is the short version, and the demo is the proof: one governed request, ruled live, with the sealed record it leaves behind yours to keep. Or read the platform page first and bring your questions.