Abstract: Methods, systems and computer-implemented processes for analyzing transactions for fraud are presented. A plurality of risk tables used by a fraud detection model is augmented with temporal change data related to risk variables associated with the plurality of risk tables. The fraud detection model is then executed using the augmented plurality of risk tables to generate a score for transaction data representing a new transaction, the score representing a numerical probability of the existence of fraud based on the fraud detection model.

Abstract: A computer-implemented fraud detection system and method are disclosed. A method includes monitoring past customer account transactions conducted with a selected one or more transaction devices, and generating a predictive model that combines customer account transaction profiles with transaction device profiles related to the one or more transaction devices, and storing a representation of the predictive model in a storage. A system for detecting fraud in financial transaction includes a fraud detection computer that receives, through a communications network, customer account transaction data obtained by a monitoring device of a transaction device according to one or more transaction device variables of a transaction device profile.