Fingerprint trains specialized models to detect distinct fraud types

Fingerprint launched Fraud Score, a predictive fraud signal trained on each customer's own fraud outcomes and powered by Fingerprint's device intelligence and machine learning models, the company announced. Fraud Score learns the fraud types specific to each organization so customers can identify fraud more accurately without building and maintaining their own models. Fingerprint framed the launch against a wider range of fraud threats "amplified by AI-powered techniques," arguing basic risk scoring cannot match the many fraud types businesses now face.

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 https://www.helpnetsecurity.com/2026/11/11/fingerprint-fraud-score/ The post Fingerprint trains specialized models to detect distinct fraud types https://www.helpnetsecurity.com/2026/11/11/fingerprint-fraud-score/ appeared first on Help Net Security https://www.helpnetsecurity.com .