1. A computing system for providing identity fraud risk indicia, the system comprising: a fraud model subsystem that specifies patterns of events indicative of identity fraud, wherein each pattern comprises a type of fraud and information related to event timing; a business rules subsystem that, based on the patterns of events, specifies rules to identify fraud; a data aggregation subsystem that collects data input from a variety of sources, the data comprising demographic data for individuals, asset data for individuals, event occurrence data, identity theft statistical data, and personal data; and a processor for executing computer readable instructions that, when executed, employ the rules to: examine a static structure of a subset of the data that relates to an individual relative to underlying financial and physical assets and personal attributes of the individual; correlate interconnectivity of the subset with events that have changed the static structure in the past; correlate interconnectivity of the subset with new events discovered during a monitoring process; and determine whether the events and the new events are correlative with at least one of the patterns based on the rules.