1. A computer-implemented method comprising: passing, from a data processing apparatus, data requests about the identity of a subject to a detection system to monitor transactions associated with the subject, the detection system comprising one or more monitors, each monitor comprising a set of two or more neural network models, each neural network model being trained with historical data related to the 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 each monitor monitoring transactions on a corresponding installed system on which a corresponding class of transactions occur, the monitoring comprising the each monitor sending a transaction score to the corresponding installed system, the transaction score representing the risk of the theft of the identity of the 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.