US 12,074,895 B1
Artificial intelligence (AI) driven classifier using defined taxonomy framework
Yi Shen, Carrollton, TX (US); Cedrik Ho, Allen, TX (US); Mei Zhou, Plano, TX (US); Rajiv Murthy, Plano, TX (US); and Shan-Wen Yan, Plano, TX (US)
Assigned to Forescout Technologies, Inc., San Jose, CA (US)
Filed by FORESCOUT TECHNOLOGIES, INC., San Jose, CA (US)
Filed on Nov. 2, 2023, as Appl. No. 18/500,845.
Int. Cl. H04L 9/40 (2022.01)
CPC H04L 63/1425 (2013.01) [H04L 63/0245 (2013.01); H04L 63/101 (2013.01); H04L 63/1433 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
identifying information associated with an entity;
generating, by a processing device, a first query comprising the information associated with the entity and a first set of options for classification of the entity at a first classification granularity level of a taxonomy framework, wherein the taxonomy framework comprises a plurality of classification granularity levels, each granularity level comprising a set of options for classification at the corresponding granularity level;
providing the first query comprising the information associated with the entity and the first set of options for classification to a classification model;
receiving, from the classification model, a selection of a first option of the first set of options for classification; and
determining a classification of the entity based at least in part on the selection of the first option of the first set of options.