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MACHINE LEARNING MODEL FOR SELF-SERVICE TRANSACTION ANOMALY RESOLUTION

Application US20260080414A1 Kind: A1 Mar 19, 2026

Inventors

Thomas A. Klebosky, JR., Daniel Ray Martin

Abstract

A method may include determining suspicious activity with respect to a user account, the suspicious activity including at least one transaction on the user account; transmitting a notification to a computing device associated with the user account, the notification identifying the suspicious activity and including a link into an application installed on the computing device to confirm the suspicious activity; receiving, from the application, an indication that the notification was activated on the computing device; and in response to the indication: selecting a subset of queries of a plurality of queries to present on a display device of the computing device via the application; receiving answers to the subset of queries via the application; processing the answers to generate a resolved status of the suspicious activity.

CPC Classifications

G06Q 20/4016 G06F 16/248 G06N 3/08 G06N 20/00

Filing Date

2025-11-25

Application No.

19400745