US 12,298,949 B2
Systems and methods for detecting false data entities using multi-stage computation
Vidhi Arora, Stoney Creek (CA); Jennifer Bouchard, Montpellier (CA); Jorge Alberto Caicedo, Stouffville (CA); Yu Gu, Newmarket (CA); Hoi Sing Mak, Toronto (CA); Jennifer Dawn Miguez, Vaughan (CA); Kevin Shao, Saint-Hubert (CA); Andriy Shcherbatyuk, Ajax (CA); and Tan Vu Vuong, Longueuil (CA)
Assigned to The Toronto-Dominion Bank, Toronto (CA)
Filed by The Toronto-Dominion Bank, Toronto (CA)
Filed on Sep. 11, 2023, as Appl. No. 18/464,814.
Prior Publication US 2025/0086151 A1, Mar. 13, 2025
Int. Cl. G06F 16/215 (2019.01); G06F 16/23 (2019.01)
CPC G06F 16/215 (2019.01) [G06F 16/2365 (2019.01)] 20 Claims
OG exemplary drawing
 
11. A method for detecting false data entities, the method executed in a computing environment comprising one or more processors and memory, the method comprising:
providing, in a data pipeline, a plurality of data connections to a plurality of external data sources;
ingesting, using the plurality of data connections, a plurality of data files respectively from the plurality of external data sources using a network interface within a current specified time period;
consolidating a plurality of data entries of false data entities from the plurality of data files into a consolidated list for the current specified time period;
comparing the consolidated list for the current specified time period with a previous consolidated list corresponding to a previous specified time period to identify one or more differences;
updating a database, which comprises a current list of false data entities, with the one or more differences; and
accessing the database and displaying, using a graphical user interface (GUI), the one or more of differences in association with a given false data entity.