Abstract: 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.

Abstract: 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.

Abstract: A method, using one or more processors, comprising receiving a first account identifier associated with a user of electronic data, determining a likelihood of fraudulent activity associated with the user based on the electronic data, determining an institution identifier associated with the user based on the first account identifier and at least in part on the likelihood of fraudulent activity, encrypting the institution identifier to an encrypted institution identifier and the first account identifier to an encrypted first account identifier, communicating, via a secure communications network, at least one of the encrypted institution identifier or the encrypted first account identifier to an account database, receiving, from the account database, noteworthy data associated with the user, determining a second account identifier based on the noteworthy data, and performing a responsive action based on the noteworthy data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.