Glossary

What is AI data governance?

Updated September 1, 2026

AI data governance is the set of controls that decides what data an AI system is allowed to learn from and act on: where each record came from, whether consent covers the use, how current the value is, and whether the answer can be defended after the fact. SuperTruth implements it as an authorization step: every record is scored 0 to 100 before anything downstream touches it, and records below the floor never enter the model.

Most governance programs govern access: who may open the table. Governing AI means governing fitness: whether the record itself deserves to drive a decision. A perfectly permissioned record can still be stale, unconsented, or unprovenanced.

The practical mechanism is a trust floor. Set the minimum DTI a record must clear for a given use, and the pipeline enforces it the way a payment network enforces authorization: in the moment, per record, with a replayable reason.