COMPREHENSIVE IDENTITY PROTECTION SYSTEM

Patent №

US 7,849,029

Granted

2010-12-07

Filed 2006

Owner

FAIR ISAAC CORPORATION

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11421896

A system and method for protecting identity fraud are disclosed. A system includes a detection subsystem to identify applications and/or accounts at risk of identity fraud, and a disposition subsystem to process data provided by the detection system and to determine whether identity fraud exists in the applications and/or accounts. According to an implementation, one or more neural network models are defined, each neural network model being configured to handle a class of cases related to the subject and a specific data configuration describing a case of the class. The one or more neural network models are run to generate data requests about the subject's identity, and the data requests are passed to a detection system that monitor transactions associated with the subject. Additional data associated with the transactions is requested until a threshold certainty is achieved or until available data or models are exhausted.

Machine learningKnowledge representationPlanningAI hardwareG06Q 50/18G06Q 20/40G06Q 20/4016G06Q 20/403G06Q 50/188

AI classification

Machine learning0.99
Knowledge representation0.94
AI hardware0.85
Planning0.79
Natural language0.01
Vision0.01
Speech0.00
Evolutionary computation0.00

Ownership

FAIR ISAAC CORPORATION

assignment · 188850738

Assignors

CROOKS, THEODORE J., MAYER, UWE F., LAZARUS, MICHAEL A.

On an employer assignment, the assignors are typically the inventors.

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