US 11,947,574 B2
System and method for user interactive contextual model classification based on metadata
Glenroy E. Day, Jr., Marina del Rey, CA (US); Tushar Padhiar, San Diego, CA (US); and Gagan Sarawgi, Milpitas, CA (US)
Assigned to NVISNX, INC., Santa Monica, CA (US)
Filed by NVISNX, Inc., Santa Monica, CA (US)
Filed on Dec. 23, 2022, as Appl. No. 18/088,191.
Application 18/088,191 is a continuation of application No. 17/520,124, filed on Nov. 5, 2021, granted, now 11,567,975.
Prior Publication US 2023/0143885 A1, May 11, 2023
Int. Cl. G06F 16/00 (2019.01); G06F 9/451 (2018.01); G06F 16/28 (2019.01)
CPC G06F 16/285 (2019.01) [G06F 9/451 (2018.02)] 30 Claims
OG exemplary drawing
 
1. A system for contextual classification of data comprising:
at least one server having a processor; and
a non-transitory computer-readable storage medium in electronic communication with the processor and comprising program instructions executable by the processor to:
access an initial inventory of data set and metadata associated with the initial inventory of data set;
use the metadata to classify the initial data set into (a) reduced set of data comprising high level sensitivity classification, and (b) a remainder data set;
wherein the metadata indicates one or more of data ownership of one or more file types of the reduced data set and privacy classification labels associated with the reduced data set;
provide a graphical display to a client device, the display comprising (i) an interactive summary of the reduced data set and the remainder data set and (ii) one or more options for specifying a user-generated and a context-specific classification rule;
receive from the client device a user-input indicating the user-generated context-specific classification rule; and
apply the user-generated context specification classification rule to the reduced data set to create a first subset of context-specific classified data and a second subset of unclassified data.