IP Library Granted Patent US 11,652,849
Granted Patent B2
US 11,652,849 · App. 17/125,675 · Granted May 16, 2023

Identifying recommended feature sets based on application feature popularity

Inventors: Sourabh Satish (Fremont, CA); Oliver Friedrichs (Woodside, CA); Atif Mahadik (Fremont, CA); Govind Salinas (Sunnyvale, CA); Ryan Russell (El Cerrito, CA)
Assignee: Splunk Inc.
H04L63/20G06F21/00G06F21/577
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,652,849
App. No.
17/125,675
Granted
May 16, 2023
Kind
B2
Abstract

Systems, methods, and software described herein provide for identifying recommended feature sets for new security applications. In one example, a method of providing recommended feature sets for a new security application includes identifying a request for the new security application, and determining a classification for the new security application. The method further provides identifying related applications to the new security application based on the classification, and identifying a feature set for the new security application based on features provided in the related applications.

Claims (34)

1. A computer-implemented method, comprising:

receiving, by a service including an application features database, a request for recommended application features for a software application;

determining a software classification associated with the software application;

identifying, from the application features database, information about a set of recommended application features implemented by other software applications associated with the software classification, wherein the information includes an indication of a number of other software applications that have implemented one or more of the recommended application features of the set of recommended application features; and

sending data identifying the set of recommended application features, wherein execution of a recommended application feature of the set of recommended application features causes the software application to perform one or more application-specific operations to implement the recommended application feature.

2. The computer-implemented method of claim 1 , wherein the software application provides security-related features for computing assets of a computing environment.

3. The computer-implemented method of claim 1 , wherein the information about the set of recommended application features further includes at least one of: information about the other software applications that have implemented one or more of the recommended application features, or names of developers that have implemented one or more of the recommended application features.

4. The computer-implemented method of claim 1 , wherein the software application is associated with a first software developer, and wherein the other software applications are associated with one or more second software developers that are different from the first software developer.

5. The computer-implemented method of claim 1 , further comprising causing display of a graphical user interface including an interface element that enables a user to specify the software classification.

6. The computer-implemented method of claim 1 , wherein the software application is at least one of: a firewall application, an antivirus application, a ticketing application, a backup application, or a network security application.

7. The computer-implemented method of claim 1 , wherein the set of recommended application features includes at least one application feature used to respond to security threats associated with a computing network.

8. The computer-implemented method of claim 1 , wherein the application features database includes a plurality of classifications, and wherein each classification of the plurality of classifications is associated with a respective set of application features.

9. The computer-implemented method of claim 1 , wherein an application feature of the set of recommended application features is associated with a unified command of a unified command language defined by an administration system.

10. The computer-implemented method of claim 1 , wherein the application features database stores, for at least one application feature of the set of recommended application features, a description of operations to be performed to implement the at least one application feature.

11. The computer-implemented method of claim 1 , wherein the request includes an identifier of the software classification associated with the software application.

12. An apparatus comprising:

a processor;

a non-transitory computer readable storage medium storing instructions which, when executed by the processor, cause the processor to:

receive, by a service including an application features database, a request for recommended application features for a software application;

determine a software classification associated with the software application;

identify, from the application features database, information about a set of recommended application features implemented by other software applications associated with the software classification, wherein the information includes an indication of a number of other software applications that have implemented one or more of the recommended application features of the set of recommended application features; and

send data identifying the set of recommended application features, wherein execution of a recommended application feature of the set of recommended application features causes the software application to perform one or more application-specific operations to implement the recommended application feature.

13. The apparatus of claim 12 , wherein the software application provides security-related features for computing assets of a computing environment.

14. The apparatus of claim 12 , wherein the information about the set of recommended application features further includes at least one of: information about the other software applications that have implemented one or more of the recommended application features, or names of developers that have implemented one or more of the recommended application features.

15. The apparatus of claim 12 , wherein the software application is associated with a first software developer, and wherein the other software applications are associated with one or more second software developers that are different from the first software developer.

16. A non-transitory computer readable storage medium storing instructions which, when executed by a processor, cause the processor to perform operations comprising:

receiving, by a service including an application features database, a request for recommended application features for a software application;

determining a software classification associated with the software application;

identifying, from the application features database, information about a set of recommended application features implemented by other software applications associated with the software classification, wherein the information includes an indication of a number of other software applications that have implemented one or more of the recommended application features of the set of recommended application features; and

sending data identifying the set of recommended application features, wherein execution of a recommended application feature of the set of recommended application features causes the software application to perform one or more application-specific operations to implement the recommended application feature.

17. The non-transitory computer readable storage medium of claim 16 , wherein the software application provides security-related features for computing assets of a computing environment.

18. The non-transitory computer readable storage medium of claim 16 , wherein the information about the set of recommended application features further includes at least one of: information about the other software applications that have implemented one or more of the recommended application features, or names of developers that have implemented one or more of the recommended application features.

19. The non-transitory computer readable storage medium of claim 16 , wherein the software application is associated with a first software developer, and wherein the other software applications are associated with one or more second software developers that are different from the first software developer.

20. The non-transitory computer readable storage medium of claim 16 , wherein the instructions, when executed by the processor, further cause the processor to perform operations comprising causing display of a graphical user interface including an interface element that enables a user to specify the software classification.

Assignments (4)
CHANGE OF NAME Recorded Jul 22, 2025
From: SPLUNK INC.
To: SPLUNK LLC
Reel/Frame 072170/0599 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2025
From: SPLUNK LLC
To: CISCO TECHNOLOGY, INC.
Reel/Frame 072173/0058 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2021
From: SATISH, SOURABH; FRIEDRICHS, OLIVER; MAHADIK, ATIF; SALINAS, GOVIND; RUSSELL, RYAN
To: PHANTOM CYBER CORPORATION
Reel/Frame 055238/0022 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2021
From: PHANTOM CYBER CORPORATION
To: SPLUNK INC.
Reel/Frame 055238/0054 →
Continuity (5)
Continuation 16817070 · Mar 12, 2020
Continuation 16393803 · Apr 24, 2019
Continuation 15206632 · Jul 11, 2016
Provisional Application 62190356 · Jul 9, 2015
Related Publication 20210144182A1 · May 13, 2021