Early Warning Services, LLC

Robin S Love

Glen Sgambati

Dan Hayden

Lucius L Lockwood

Mary Winters

Dzmitry Sabaleuski

Todd Anderson

Frederick Wedgeworth

Laura E Weinflash

Robert Lawrence Hill

Jie He

James R Mortensen

Sandra Letterly

Jinghong Qi

James Napier

Matt Cottrell

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

A plurality of institutions (such as financial institutions) contribute data to a data analysis and linking system. The system analyzes the data to create data nodes (records) associated with an entity, where the entity may be, for example, a person/individual, business, organization, account, address, telephone number, etc. After data is linked, and in order to retrieve linked data, a requester may provide to the system an identifier associated with an entity. The linked data provided by the system in response to the identifier may be in the form of a network of data nodes associated with the entity and for use in assessing risk, such as risk associated with a transaction being conducted by a person. The linked data may also be analyzed at the system to score risk associated with the entity, and the risk score provided in conjunction with or in lieu of the network of data nodes.

System and method for suspect entity detection and mitigation

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

Systems and methods are disclosed for verifying customer identifications. In one embodiment, the method comprises receiving, at a transaction gateway, a communication associated with a transaction initiated by a customer; determining the communication includes an identity verification request to verify encoded data obtained from an identification presented by the customer; routing the identity verification request to an identity verification service; receiving, from the identity verification service, a result including one or more identification values obtained from the encoded data; and transmitting the result to a requester associated with the communication.

Identity verification systems and methods

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Scottsdale, AZ, United States of America

Robin S Love