Invention Grant
- Patent Title: Identifying personally identifiable information in machine-generated data
-
Application No.: US15582465Application Date: 2017-04-28
-
Publication No.: US10929560B2Publication Date: 2021-02-23
- Inventor: Adam Oliner , Nghi Nguyen
- Applicant: SPLUNK INC.
- Applicant Address: US CA San Francisco
- Assignee: SPLUNK INC.
- Current Assignee: SPLUNK INC.
- Current Assignee Address: US CA San Francisco
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/2458

Abstract:
Implementations include receiving a user provided example value of personally identifiable information (PII). Occurrences of the received example value are automatically identified in a dataset of events, wherein each occurrence is identified in a portion of raw machine data of a respective event of the events. For each occurrence of the identified occurrences, an extraction rule is generated, which defines a pattern of the occurrence of the example value and is executable to identify PII values in portions of raw machine data of the events using the pattern. Values of the PII are identified in a set of events using a set of extraction rules comprising the extraction rule of a plurality of the occurrences.
Public/Granted literature
- US20180314853A1 IDENTIFYING PERSONALLY IDENTIFIABLE INFORMATION IN MACHINE-GENERATED DATA Public/Granted day:2018-11-01
Information query