Wells Fargo Bank, N.a.

Benjamin W Geertz

Beth S Moss

Angela C Berkery

Ryan S Alexander

Wendy M Stutz

Sean S Hamidi

Jason M Stokes

Michael J Johnson

Andrew J Garner, Iv

Muhammad Farukh Munir

Christopher Phillip Clausen

Bryan Kroll

Daniel Oshima

Fraud detection and response associated with various access points is disclosed. Characteristics associated with events or activity on an access point can be compared to thresholds to detect risky behavior and measures implemented in response to the risky behavior. In one instance, operations can include monitoring one or more events associated with at least one account at a financial institution, analyzing characteristics associated with a first event of the one or more events, determining whether to designate the first event or the access point as risky, and implementing one or more measures in response to a risky designation.

Fraud detection

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

A system for causing a dynamic interface adjustment includes a user device. The user device includes an active financial interface associated with a financial institution. The system further includes a computer system communicatively coupled to the user device. The computer system is configured to receive, via the user device, a sensory input associated with a customer of the financial institution, determine a sensory impairment associated with the customer based on the sensory input, and cause a dynamic interface adjustment of the active financial interface in response to the determination of the sensory impairment.

Systems and methods for dynamic interface changes

Systems and methods of fraud prevention are discussed. One such method can include the acts of monitoring one or more events associated with at least one account at a financial institution; analyzing characteristics associated with a first event of the one or more events; determining whether to designate the first event as risky; and implementing one or more measures in response to the designation of the first event as risky.

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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Milwaukie, OR, United States of America

Benjamin W Geertz