Traditionally, fraud-prevention systems have relied on binary yes-or-no decisions to conclude whether a transaction is real. The goal is to approve authentic orders and decline fraudulent ones.

Instead, the fraud detection efforts rely on machine learning, the subset of AI that excels at analyzing vast amounts of data, and making decisions and predictions based on what it’s learned.

Spade ’s co-founders Oban MacTavish, Tess Bloch and Cooper Hart believe much of the fraud can be eliminated if card issuers have access to real-time transaction intelligence.

BURLINGTON, Mass.--(BUSINESS WIRE)--OrboGraph, a premier supplier of check processing automation and fraud detection software and services, announced the addition of three new Top 30 Bank ...