Umbra Scoring

Umbra Scoring packages rules and machine-learning models for community banks that lack a dedicated data-science team. Scenarios for check fraud, P2P scams and elder financial exploitation ship pre-tuned, and analysts review alerts in a case manager that records every decision.

Model changes go through a documented validation process with before-and-after performance, which supports model-risk governance expectations.