Adopt frontier AI inside your mandate.
The order of operations is the whole trick. Turn AI on first and governance becomes a retrofit, with an ungoverned gap you'll be explaining for years. Verillian inverts that. On macOS the checkpoint installs from a signed package with enrollment, the rules take effect everywhere at once, and only then do you open the doors. Adoption reads as a controlled rollout because that's what it was.
What an AI governance platform has to cover
A policy your board can read
Rules are declared in plain terms: what each group may do, tool by tool. The AI policy you publish and the one you enforce stay the same document.
Coverage you can report
Fleet coverage, usage, blocks, and redactions roll up into the numbers leadership asks for, with the sealed record underneath whenever someone wants to look closer.
Evidence the controls held
You never have to assert that governance was on. The record shows it, for every captured interaction, from day one of the rollout.
Changes leave a trail too
A policy edit takes a stated reason and a second approver, and the history of who changed what stays part of the record nobody can quietly rewrite.
Frontier models, your terms
Your teams get the models reshaping their field, chat tools and coding agents alike, each acting only within what you've declared it may do.
Ready for what lands next.
California SB 524 already requires an agency to record when AI drafted a report. Because enforcement happens at the point of use and the evidence is kept afterwards, a new requirement usually lands inside what you already run rather than starting a project.
See your policy decide on a real device
Book thirty minutes, bring one of your own requests, and watch it ruled live.