US 12,475,469 B2
Fraud detection systems and methods
Eli Ben Nun, Kfar Saba (IL); and Shai Gabay, Pardes Hanna-Karkur (IL)
Assigned to Trustmi Network Ltd., (IL)
Filed by Trustmi Network Ltd., Tel Aviv-Jaffa (IL)
Filed on Aug. 2, 2024, as Appl. No. 18/793,188.
Application 18/793,188 is a continuation of application No. 18/229,621, filed on Aug. 2, 2023, granted, now 12,131,330.
Prior Publication US 2025/0045763 A1, Feb. 6, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 20/40 (2012.01)
CPC G06Q 20/4016 (2013.01) [G06Q 20/40145 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, at an ingestion engine, raw data from a plurality of heterogeneous data sources, the raw data including transaction data recorded at different dates;
using the ingestion engine to produce structured object data for an object, the structured object data derived from the raw data;
applying a classification service to produce a partial fingerprint from the structured object data wherein the partial fingerprint comprises a plurality of attributes and wherein the classification service classifies the structured object data based at least in part on the plurality of attributes;
applying a fingerprinting process to the partial fingerprint to produce a full fingerprint for the structured object data, the full fingerprint comprising financial attributes;
applying an enrichment engine to add data to the full fingerprint to produce an enriched fingerprint for the structured object data, wherein applying the enrichment engine comprises applying a network engine to the full fingerprint to determine a network score for the enriched fingerprint, the network score based at least in part on trust network data wherein the trust network data comprises anonymized fingerprint data for a plurality of objects, the anonymized fingerprint data comprising data from users; and
applying a verdict engine to determine a verdict on the object based at least in part on financial attributes of the enriched fingerprint for the structured object data.