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US 2022/0277308 A1Published application
Systems and methods for determining risk of identity fraud based on multiple fraud detection models
OwnerMonique Ardizzi, Tian Shen +4inventors
InventorsMonique Ardizzi, Tian Shen, Andrew Sigfrid, Chris Dogas, Anne-Marie Kelly, Patrick Boudreau
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Abstract
A fraud risk determination system that provides a comprehensive approach to multiple different types of fraud that outputs a single identity fraud risk score based on dynamically combining several independent fraud component models which employ various analytical techniques.
Claims24
A fraud risk determination system comprising:
- a processor;
- and
- a memory device that stores a plurality of instructions that, when executed by the processor responsive to an initiated transaction, cause the processor to:
- receive transaction data associated with an entity,
- for each of a plurality of different fraud component models, determine, based on at least a portion of the received transaction data, an individual fraud predictor associated with that fraud component model, wherein each individual fraud predictor is determined independent of each of the other individual fraud predictors,
- determine, based on a dynamic weighting of each of the determined individual fraud predictors associated with each of the fraud component models, a single identity fraud risk score associated with the entity, and
- cause a display, by a display device, of the determined single identity fraud score associated with the entity.
4 more elements
A method of operating a fraud risk determination system responsive to an initiated transaction, the method comprising:
- receiving transaction data associated with an entity,
- for each of a plurality of different fraud component models, determining, by a processor and based on at least a portion of the received transaction data, an individual fraud predictor associated with that fraud component model, wherein each individual fraud predictor is determined independent of each of the other individual fraud predictors,
- determining, by the processor and based on a dynamic weighting of each of the determined individual fraud predictors associated with each of the fraud component models, a single identity fraud risk score associated with the entity, and
- displaying, by a display device, the determined single identity fraud score associated with the entity.
1 more element
Dependencies are inferred from the claim text.