Fingerprint Launches Fraud Score, Reporting Nearly 50% More Fraud Detected in Customer Test

Fingerprint has launched Fraud Score, a predictive fraud signal that combines device intelligence with machine learning models trained on each customer’s own fraud outcomes. The company reports that the product caught nearly 50% more fraud than one customer’s existing in-house model in a head-to-head evaluation, without increasing the number of legitimate users blocked. The launch addresses a familiar problem for risk teams: collecting signals is easier than turning them into a reliable…

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Fingerprint Launches Fraud Score, Reporting Nearly 50% More Fraud Detected in Customer Test