US 12,301,687 B2
Real-time entity anomaly detection
Ajit Gaddam, Foster City, CA (US); Ara Jermakyan, Northridge, CA (US); and Pushkar Joglekar, Emeryville, CA (US)
Assigned to Visa International Service Association, San Francisco, CA (US)
Filed by Visa International Service Association, San Francisco, CA (US)
Filed on Jun. 11, 2024, as Appl. No. 18/740,300.
Application 18/740,300 is a continuation of application No. 17/044,552, granted, now 12,041,140, previously published as PCT/US2018/025736, filed on Apr. 2, 2018.
Prior Publication US 2024/0333812 A1, Oct. 3, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/50 (2022.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 20/20 (2019.01); H04L 9/40 (2022.01); H04L 67/30 (2022.01)
CPC H04L 67/535 (2022.05) [G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 20/20 (2019.01); H04L 63/102 (2013.01); H04L 63/105 (2013.01); H04L 63/20 (2013.01); H04L 67/30 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method comprising:
determining, by a resource access system, a feature vector corresponding to request data from a requesting entity;
determining, by the resource access system, an entity profile based on the feature vector or the request data;
determining, by the resource access system, a production model corresponding to the entity profile;
determining, by the resource access system, a trust score by applying the feature vector as an input to the production model;
comparing, by the resource access system, the trust score to predetermined thresholds;
determining, by the resource access system, a resource access policy corresponding to a maximum exceeded threshold of the predetermined thresholds; and
applying, by the resource access system, the resource access policy.