Wells Fargo Bank, N.a.

Ryan S Alexander

Beth S Moss

Benjamin W Geertz

Prafullata Diwate

Angela C Berkery

Lei Han

Jason M Stokes

Wendy M Stutz

Sean S Hamidi

Steven E Puffer

Kristine Ing Kushner

Paul Vittimberga

Eric Thompson

Katherine Guse Jagoe

Disclosed are systems and methods for passively authenticating users of a native application running on a mobile communications device. The user may be applying for a service, product, access, etc. from a provider computing system. A unique device identifier of the device may be acquired and provided to a first computing system. A mobile telephone number associated with the device may be received at the device. User information may be accepted from the user via a user interface of the device for entry into a set of fields. The mobile telephone number may be verified by determining, via a second computing system that is different from the first computing system, that the mobile telephone number is associated with the user information. The service/product/access for the user may be approved in response to verification of the mobile telephone number. The user may be authenticated without challenge questions.

Passive authentication during mobile application registration

systems and methods are presented for passively authenticating users of a native application running on a mobile communications device. The user may be applying for a service, product, access, etc. from a provider computing system. A unique device identifier of the device may be acquired and provided to a first computing system. A mobile telephone number associated with the device may be received at the device. User information may be accepted from the user via a user interface of the device for entry into a set of fields. The mobile telephone number may be verified by determining, via a second computing system that is different from the first computing system, that the mobile telephone number is associated with the user information. The service/product/access for the user may be approved in response to verification of the mobile telephone number. The user may be authenticated without challenge questions.

Systems, methods, and apparatuses are described for an intelligent dashboard that allows interested parties to verify and validate relevant information on enterprises and their representatives. A servicing entity may provide an enterprise with a dashboard that includes select fields corresponding to information predicted to be useful to clients of the enterprise based on commercial characteristics of the enterprise and its client base. Fields may be populated with information previously available to the servicing entity, and with supplemental information acquired (manually or automatically) from the enterprise or from third party data sources. The enterprise may impose restrictions on which information is to be available to which clients, and the servicing entity may generate a code for use by clients to access the dashboard or certain information. The dashboard can allow clients to track the location of a representative and help validate the identify of a representative arriving at a client's location.

Organizational and personal identity verification and validation

Automated secondary linking can be employed in conjunction with fraud detection systems. According to one embodiment, a system includes a parsing logic configured to receive an incoming fraud report based on a first fraud detection strategy. The parse logic is also configured to parse the incoming fraud report into fraud data. The system further includes a search logic configured to search a set of fraud reports to identify instances of the fraud data. The system also includes an alert logic configured to generate an alert in response to an instance of the fraud data being identified in the set of fraud reports.

Automated secondary linking for fraud detection systems

Shirt

Systems, methods, and other embodiments associated with automated secondary linking for fraud detection systems. According to one embodiment, a system includes a parsing logic configured to receive an incoming fraud report based on a first fraud detection strategy. The parse logic is also configured to parse the incoming fraud report into fraud data. The system further includes a search logic configured to search a set of fraud reports to identify instances of the fraud data. The system also includes an alert logic configured to generate an alert in response to an instance of the fraud data being identified in the set of fraud reports.

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Mill Creek, WA, United States of America

Ryan S Alexander