Invention Application
- Patent Title: MODULAR MODEL WORKFLOW IN A DISTRIBUTED COMPUTATION SYSTEM
- Patent Title (中): 分布式计算系统中的模块化模型工作流程
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Application No.: US14929035Application Date: 2015-10-30
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Publication No.: US20170063886A1Publication Date: 2017-03-02
- Inventor: Sudhakar Muddu , Christos Tryfonas , Sathyanarayanan Kavacheri
- Applicant: Splunk Inc.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L12/24

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
- US10110617B2 Modular model workflow in a distributed computation system Public/Granted day:2018-10-23
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