IP Library Granted Patent US 11,947,574
Granted Patent B2
US 11,947,574 · App. 18/088,191 · Granted Apr 2, 2024

System and method for user interactive contextual model classification based on metadata

Inventors: Glenroy E. Day, Jr. (Marina del Rey, CA); Tushar Padhiar (San Diego, CA); Gagan Sarawgi (Milpitas, CA)
Assignee: NVISNX, INC.
G06F16/285G06F9/451
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Quick Facts
Patent No.
US 11,947,574
App. No.
18/088,191
Granted
Apr 2, 2024
Kind
B2
Abstract

A system and a method for contextual categorization of data comprises a 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. The system is then configured to classify the initial inventory of data set by using the metadata into (a) reduced set of data comprising high level sensitivity classification and (b) a remainder data set. The system and method can be further configured for contextual categorization of data that involves receiving an initial data set to be categorized; establishing a library of contextual classifiers, the library comprising (1) a set of predetermined high level sensitivity classifications and (2) a set of user-generated business-specific sensitivity classifications subordinated below the high level sensitivity classifications; identifying and removing redundant, outdated, trivial or abandoned (ROTA) data from the initial data set to create a reduced data set and a remainder data set of ROTA data; applying the user-generated business-specific sensitivity classifications to the reduced data set to create a first set of classified data and a second set of unclassified data; and iteratively applying additional user-generated business-specific sensitivity classifications to the both the first set of classified data and the second set of unclassified data until all data in the reduced data set has been classified in exactly one use-generated business-specific sensitivity classification.

Claims (54)

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.

2. The system of claim 1 , wherein the one or more options comprise data derived from one or more of metadata associated with one or more files of the reduced data set or data content contained in one or more files of the reduced data set.

3. The system of claim 1 , wherein the one or more options are automatically recommended based on metadata associated with files of the reduced data set.

4. The system of claim 1 , wherein the metadata is obtained from one or more of a file system and a directory service.

5. The system of claim 1 , wherein the program instructions to apply the user-generated, context-specific classification rule utilize metadata associated with files of the reduced data set.

6. The system of claim 5 , wherein the metadata is obtained from one or more of a file system and a directory service.

7. The system of claim 5 , wherein the metadata comprises file path data associated with the files of the reduced data set, and the program instructions to apply the user-generated, context-specific classification rule utilize the file path data to create the first subset of the context-specific classified data.

8. The system of claim 1 , wherein the program instructions are further executable by the processor to iteratively apply one or more additional user-generated, context-specific classification rules to one or more of the first subset of classified data set and the second sub-set of unclassified data until all data thereof has been classified into exactly one use-generated business-specific sensitivity classification.

9. The system of claim 1 , wherein the remainder dataset comprises redundant, outdated, trivial or abandoned (ROTA) data.

10. The system of claim 1 , wherein the graphically displaying comprises generating a graphical user interface (GUI).

11. 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;

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;

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; and

wherein the program instructions are further executable by the processor to iteratively apply one or more additional user-generated, context-specific classification rules to one or more of the first subset of classified data set and the second sub-set of unclassified data until all data thereof has been classified into exactly one use-generated business-specific sensitivity classification.

12. The system of claim 11 , wherein the one or more options comprise data derived from one or more of metadata associated with one or more files of the reduced data set or data content contained in one or more files of the reduced data set.

13. The system of claim 11 , wherein the one or more options are automatically recommended based on metadata associated with files of the reduced data set.

14. The system of claim 11 , wherein the metadata is obtained from one or more of a file system and a directory service.

15. The system of claim 11 , wherein the program instructions to apply the user-generated, context-specific classification rule utilize metadata associated with files of the reduced data set.

16. The system of claim 15 , wherein the metadata is obtained from one or more of a file system and a directory service.

17. The system of claim 11 , 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.

18. The system of claim 15 , wherein the metadata comprises file path data associated with the files of the reduced data set, and the program instructions to apply the user-generated, context-specific classification rule utilize the file path data to create the first subset of the context-specific classified data.

19. The system of claim 11 , wherein the remainder dataset comprises redundant, outdated, trivial or abandoned (ROTA) data.

20. The system of claim 11 , wherein the graphically displaying comprises generating a graphical user interface (GUI).

21. 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 remainder dataset comprises redundant, outdated, trivial or abandoned (ROTA) data;

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.

22. The system of claim 21 , wherein the one or more options comprise data derived from one or more of metadata associated with one or more files of the reduced data set or data content contained in one or more files of the reduced data set.

23. The system of claim 21 , wherein the one or more options are automatically recommended based on metadata associated with files of the reduced data set.

24. The system of claim 21 , wherein the metadata is obtained from one or more of a file system and a directory service.

25. The system of claim 21 , wherein the program instructions to apply the user-generated, context-specific classification rule utilize metadata associated with files of the reduced data set.

26. The system of claim 25 , wherein the metadata is obtained from one or more of a file system and a directory service.

27. The system of claim 21 , 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.

28. The system of claim 25 , wherein the metadata comprises file path data associated with the files of the reduced data set, and the program instructions to apply the user-generated, context-specific classification rule utilize the file path data to create the first subset of the context-specific classified data.

29. The system of claim 21 , wherein the program instructions are further executable by the processor to iteratively apply one or more additional user-generated, context-specific classification rules to one or more of the first subset of classified data set and the second sub-set of unclassified data until all data thereof has been classified into exactly one use-generated business-specific sensitivity classification.

30. The system of claim 21 , wherein the graphically displaying comprises generating a graphical user interface (GUI).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 23, 2022
From: DAY, GLENROY E., JR.; PADHIAR, TUSHAR; SARAWGI, GAGAN
To: NVISNX, INC.
Reel/Frame 062196/0588 →
Continuity (2)
Continuation 17520124 · Nov 5, 2021
Related Publication 20230143885A1 · May 11, 2023
Cited By (4)
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