Invention Grant
- Patent Title: Method and system for generating an interactive kill chain view for training a machine learning model for identifying threats
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Application No.: US16215350Application Date: 2018-12-10
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Publication No.: US10778703B2Publication Date: 2020-09-15
- Inventor: Sudhakar Muddu , Christos Tryfonas
- Applicant: SPLUNK INC.
- Applicant Address: US CA San Francisco
- Assignee: SPLUNK INC.
- Current Assignee: SPLUNK INC.
- Current Assignee Address: US CA San Francisco
- Agency: Perkins Coie LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N20/00 ; G06N5/04 ; G06F16/901 ; G06F16/44 ; G06F16/28 ; G06F16/25 ; H04L12/26 ; G06F16/2457 ; H04L12/24 ; G06F3/0484 ; G06K9/20 ; G06F3/0482 ; G06N5/02 ; G06F40/134 ; G06N7/00

Abstract:
A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
Public/Granted literature
Information query