Fingerprint has launched Fraud Score, a predictive fraud signal trained directly on customers’ own fraud outcomes and powered by Fingerprint’s device intelligence and machine learning models. Fraud Score learns the fraud types at each organization to help them identify fraud more accurately without having to build and maintain their own models. Basic risk scoring can’t match the many types of fraud “Businesses today face a wider range of fraud threats, amplified by AI-powered techniques,” said … More →The post Fingerprint trains specialized models to detect distinct fraud types appeared first on Help Net Security.