Early Warning Services, LLC

Dan Hayden

Robin S Love

Laura E Weinflash

Robert Lawrence Hill

James R Mortensen

Jie He

Sandra Letterly

James Napier

Matt Cottrell

Jacob M Bellman

Abhishek Chambe Venkatesh Murthy

John M Kohoutek

Klementina Nikov

Jinghong Qi

A method of determining a fraud network comprising: receiving address information regarding a first address; determining, using an address risk machine learning model, a first address risk score associated with the first address; identifying a first entity associated with the first address based on the first address risk score; determining at least one of a second address and a second entity associated with the first entity; and generating a fraud network profile including the first address, and the at least one of the second address and second entity.

Fraud networks

A synthetic identity detection network may include a communications interface, one or more processors, and a memory having instructions stored thereon. The instructions cause the processors to receive a data inquiry from a requesting system. The data inquiry may include personally identifiable information (PII) data associated with a user. The instructions cause the processors to match the PII data to a plurality of user identities. Each user identity may be associated with at least a portion of the PII data. The instructions cause the processors to identify account statuses associated with accounts associated with the user identities. The instructions cause the processors to generate a code based at least in part on a count of the user identities and the account statuses. The code provides an indication of a likelihood of the user being a synthetic identity. The instructions cause the processors to transmit the code to the requesting system.

Systems and methods for synthetic identity detection

Identity data for an applicant opening a bank account is provided to an ID confidence scoring system. The scoring system accesses a multi-source data management system, using queries that include a base component, a link component and a function component. Data records maintained by the multi-source data management system include header data having identity data elements, with the header data analyzed pursuant to the queries. Queries may also be provided to an entity resolution system having data records organized in data networks, each data network corresponding to a single entity. Query results are used to develop an ID confidence score for applicant identity data.

Identity confidence scoring system and method

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Mesa, AZ, United States of America

Dan Hayden