Adaptive fraud detection

US10510025B2 · kind B2 · utility

Assignee

• Fair Isaac Corporation · US

Inventors

• Scott Michael Zoldi · San Diego, US
• Larry Peranich · San Diego, US
• Jehangir Athwal · San Diego, US
• Uwe Mayer · Encinitas, US
• Sajama · Jersey City, US

Key dates

• Filing date: Feb 29, 2008
• Grant date: Dec 17, 2019
• Expiry date: Nov 26, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/0635
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A computer-implemented method includes receiving a new data record associated with a transaction, and generating, using an adaptive model executed by the computer, a score to represent a likelihood that the transaction is associated with fraud. The adaptive model employs feedback from one or more external data sources, the feedback containing information about one or more previous data records associated with fraud and non-fraud by at least one of the one or more external data sources. Further, the adaptive model uses the information about the one or more previous data records as input variables to update scoring parameters used to generate the score for the new data record.