Method of reducing financial losses in multiple payment channels upon a recognition of fraud first appearing in any one payment channel
AssigneeBrighterion, Inc.
InventorAkli Adjaoute
Life of this patent
Estimating the term…
Loading patent…
AssigneeBrighterion, Inc.
InventorAkli Adjaoute
Estimating the term…
A method of reducing financial fraud by operating artificial intelligence machines organized into parallel sets of predictive models with each set specially trained with supervised and unsupervised training data filtered for a particular financial channel. Each set integrates several artificial intelligence classifiers like neural networks, case based reasoning, decision trees, genetic algorithms, fuzzy logic, business rules and constraints, smart agents and associated real-time profiling, recursive profiles, and long-term profiles. Suspicious and abnormal activities in any channel communicate across predictive models for all the financial channels through real-time memory storage updates to the smart agent profiles they all share.
A computer-implemented method for geographically sensitive payment fraud detection across multiple payment channels, comprising:
At least one payment network server for geographically sensitive payment fraud detection across multiple payment channels, the at least one payment network server comprising:
Non-transitory computer-readable storage media having computer-executable instructions for geographically sensitive payment fraud detection across multiple payment channels, wherein when executed by at least one processor the computer-readable instructions cause the at least one processor to:
Dependencies are inferred from the claim text.