Patent ID: 7849029

Claim:
A computer-implemented method comprising: defining a plurality of neural network models in a memory of a data processing apparatus, each neural network model being trained with historical data related to a subject to profile an identity of the subject for a class of cases, each neural network model having a specific data configuration describing a case of the class; running the plurality of neural network models by the data processing apparatus to generate data requests about the identity of the subject; passing the data requests from the data processing apparatus to a detection system to monitor transactions associated with the subject and gather data in response to the data requests, the detection system comprising a plurality of monitors, each monitor of the plurality of monitors comprising a set of two or more neural network models of the plurality of neural network models, each monitor monitoring transactions on a corresponding installed system on which a corresponding class of transactions occur, the monitoring comprising each monitor sending a transaction score to the corresponding installed system, the transaction score representing a risk of a theft of the identity of a subject; identifying, by the detection system and according to at least one of the neural network models, a first set of transactions that are at risk of the theft of the identity of the subject; and determining, by a disposition system that is a part of the data processing apparatus, whether a particular transaction of the first set of identified transactions associated with the subject includes data indicative of a theft of the identity of the subject by a third person.