Vigilance360 AI Governance
Every AI tool in your business, on one list.
Register every AI model and tool, rate its risk and keep the approval on record.
The problem
Three places where the AI record usually breaks.
No inventory.
Models are built in house, bought inside vendor software and adopted by staff on their own. Nobody holds the full list.
No method, no sign-off.
A chatbot and a credit-scoring model get the same review, or none, and new tools go live before anyone has looked.
Nobody looks after launch.
Models change and outcomes drift. Unfair results surface through a complaint or an inspection, not a review.
Features
What is inside.
Know what AI you are running and who approved it.
AI register.
Every model, tool and AI feature in use, with its owner, purpose, data and status.
Risk tiering.
A short questionnaire rates each use case by the data it uses, the decisions it makes and who they affect.
Approval before go-live.
A new use case needs a named approver. The decision and its reasons stay on the record.
Vendor AI review.
AI features in bought software are reviewed alongside that vendor's TPRM record.
Periodic review.
High-risk use cases are reviewed on a schedule, and a change to a model or its data triggers a fresh review.
Policy and exceptions.
Publish the approved-tools policy. Exceptions are time-boxed and come back for review.
The standards you answer to.
- ISO/IEC 42001
- NIST AI RMF
- EU AI Act
- DPDP Act
Also in the suite
Use one, or all three.
They share the same approvals, audit trail and reports, so adding one later does not mean starting over.