Systems and methods for detecting fraud

Abstract

Certain embodiments of the disclosed technology may include systems and methods for detecting fraud. According to an implementation of the disclosed technology, a method is provided that includes: receiving entity-supplied information including at least a name, a social security number, and a mailing address associated with a request for a payment or a benefit from a government agency; querying one or more public or private databases with the entity-supplied information; receiving a plurality of independent information in response to the querying; determining, based at least in part on a comparison of the entity-supplied information with at least a portion of the plurality of independent information, indicators of fraud; and outputting, for display, zero or more indicators of fraud.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation of U.S. patent application Ser. No. 13 / 541,157, filed Jul. 3, 2012, and published as U.S. Patent Publication No. US20140012716, entitled “SYSTEMS AND METHODS FOR DETECTING TAX REFUND FRAUD,” the contents of which are hereby incorporated by reference in its entirety.FIELD[0002]The disclosed technology generally relates to detecting fraud, and in particular, to systems and methods for detecting fraud related to a request for a payment or a benefit from a government agency.BACKGROUND[0003]Federal and state revenue departments in the United States face a number of problems associated with fraudulent requests for payments, benefits, and / or refunds. Fraudsters can apply for payments, benefits, and / or refunds by misrepresenting their identity, by stealing and using identity information from another individual, or by using an identity of a deceased person. The associated revenue loss to the federal and state gov...

AI Technical Summary

Benefits of technology

The patent text describes a system and method for detecting fraud related to identity misrepresentation, identity creation, or identity usurpation. The system receives entity-supplied information, such as a name, social security number, and mailing address, and queries public or private databases to find indicators of fraud. The indicators of fraud can include, for example, if the entity is deceased, if the social security number is associated with a non-fraud request, or if the mailing address does not match any of the information in the databases. The system can also compare the entity's information with information from a Do Not Pay list to output a fraud alert if there is a match. The technical effect of this technology is to provide a more effective way to detect fraud and protect against it.

Problems solved by technology

Federal and state revenue departments in the United States face a number of problems associated with fraudulent requests for payments, benefits, and / or refunds.

The associated revenue loss to the federal and state government agency can be significant, and the process of verifying the legitimacy of the requester's identity can create costly delays.

Balancing the threats of identity fraud with efficient service for legitimate requests creates a significant challenge for governmental entities.

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