A model that learns from your own results

Veritus does not stay static. The model self-learns from your confirmed outcomes — the real and fraudulent signups you mark as correct or incorrect.

When you confirm that a decision was right (a genuine customer, or a fraudster you caught) or wrong (a false positive, or fraud that slipped through), that feedback is fed back into training. The model retrains regularly to adapt to your signup patterns, so accuracy improves over time and reflects the kind of fraud your business actually sees.

Every decision is kept with a full audit trail, so you can always see why a given verdict was reached.