Invention Grant
- Patent Title: Dynamically updating feature set recommendation databases
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Application No.: US16817070Application Date: 2020-03-12
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Publication No.: US10904295B2Publication Date: 2021-01-26
- Inventor: Sourabh Satish , Oliver Friedrichs , Atif Mahadik , Govind Salinas , Ryan Russell
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F21/57 ; G06F21/00

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.
Public/Granted literature
- US20200344268A1 Dynamically updating feature set recommendation databases Public/Granted day:2020-10-29
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