A method for identifying a fraudulent account application includes receiving a new account application comprising a plurality of identity-related fields and linking the identity-related fields associated with the new account application with identity-related fields associated with a plurality of historical account applications. The links form a graphical pattern on which statistical analysis can performed to determine the likelihood that the new account application is fraudulent. The statistical analysis can comprise comparing the graphical pattern to a known, or normal graphical pattern in order to detect differences, or anomalies occurring in the graphical pattern associated with the new account application.
Mortgage fraud detection systems and methods are provided. A fraud detection system can generally comprise a database operator, a database manager, one or more users, and a database. Database components can be implemented as hardware, software, or a combination of both. A fraud detection method can generally comprise providing a database for maintaining a plurality of records. Data records can be continually received by a database in batchwise or single submission protocols. Records can be compared to determine whether they contain common data in one or more predetermined fields. If records contain common data in one or more predetermined fields, records can be examined for inconsistencies in one or more other data fields. Discovered inconsistencies and magnitudes of inconsistencies can be warning signs of fraud. Results of comparisons can be reported to system users to enable such users to investigate additional circumstances. Other embodiments and features are also claimed and described in the application.
