Lexisnexis Risk Solutions Fl Inc.

Scott M Straub

Marlene L Thorogood

Andrew John Bucholz

Monty Faidley

Jennifer Paganacci

Lea Smith

Cindy Loizzo

Cheri Gay Nevin

Steve Lappenbusch

Eric Piner

Samantha Gwinn

Alex Woo Song

Johannes Philippus De Villiers Prichard

Mark Loizzo

Jesse C B D Shaw

Dermot C O'Mahony

David Yeschek

Certain embodiments of the disclosed technology include systems and methods for increasing efficiency in the detection of identity-based fraud indicators associated with a loan application. A method is provided that includes receiving applicant data associated with a loan application having a plurality of applicants. The application data includes at least a name, a social security number, and a street address for each of the plurality of applicants. The method includes querying one or more databases with the applicant data; receiving a plurality of independent information in response to the querying; determining a validity indication of the applicant data; creating disambiguated applicant records; determining relationships among the disambiguated applicant records; scoring at least one parameter of the applicant data; determining one or more indicators of fraud based on the scoring; and outputting, for display, one or more indicators of fraud.

Systems and methods for improving computation efficiency in the detection of fraud indicators for loans

Certain embodiments of the disclosed technology include systems and methods for increasing efficiency in the detection of identity-based fraud indicators. A method is provided that includes: receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit; querying one or more databases with the entity-supplied information; receiving a plurality of information in response to the querying; determining a validity indication of the entity supplied information; creating disambiguated entity records; determining relationships among the disambiguated records; scoring, based at least in part on determining the relationships among the disambiguated entity records, at least one parameter of the entity-supplied information; determining one or more indicators of fraud based on the scoring; and outputting, for display, one or more indicators of fraud.

Systems and methods for increasing efficiency in the detection of identity-based fraud indicators

Systems and methods for improving computation efficiency in the detection of fraud indicators for loans with multiple applicants

Certain embodiments of the disclosed technology may include systems and methods for detecting tax refund fraud. According to an exemplary embodiment of the disclosed technology, a method is provided for detecting tax refund fraud. The method includes receiving entity-supplied information. In an exemplary embodiment, the entity-supplied information includes at least a name, social security number, and mailing address. The method further includes querying one or more databases with the entity-supplied information and receiving a plurality of independent information in response to the querying. The method can include determining, based at least in part on a comparison of the entity-supplied information with the plurality of independent information, zero or more indicators of fraud. The method can include outputting the zero or more indicators of fraud.

Systems and methods for detecting tax refund fraud

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Silver Spring, MD, United States of America

Scott M Straub