Papers for your review.
Briefs, position papers and industry overviews written to hand to security, procurement and leadership during an AI governance review.
White papers
Approaches to governing AI, compared
See how the common ways to govern AI compare, and where each one leaves a gap.
Architecture and data flow
A walkthrough of Verillian for your security team: where each part runs inside your agency, what crosses each boundary, and what Verillian never receives.
How Verillian is designed for trust
Where your agency's data lives, how it is protected, and the questions security teams ask first.
Enable AI without becoming the cautionary tale
Your staff already use AI, and your agency wants to say yes.
A control that runs on your own infrastructure
It runs on your own servers, so there is no vendor data store to review and no integration to build for each AI tool.
Evaluating an AI governance control
A checklist of questions your agency can put to any AI governance vendor, Verillian included.
Logs are not proof
A log someone could quietly edit will not hold up when your agency has to prove what its AI did.
Visibility, enforcement, evidence
An AI control can do three jobs: visibility, enforcement and evidence.
Shadow AI: the risk you cannot see
The AI hardest to govern is the AI your agency never approved.
AI on government work. A record a records request can meet.
Verillian helps government teams use AI on public-sector records.
How Verillian helps govern adoption of AI for public safety
Verillian helps officers, analysts, dispatch, and records teams use AI on criminal-justice data.
How Verillian helps govern adoption of AI for education
Verillian helps teachers, schools, and districts use AI on student records.
See Verillian on a real device.
