Invention Grant
- Patent Title: Detecting anomalous entities
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Application No.: US15692655Application Date: 2017-08-31
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Publication No.: US10592666B2Publication Date: 2020-03-17
- Inventor: Mijung Kim , Pratyusa K. Manadhata , Manish Marwah , Alexander Ulanov , Jun Li
- Applicant: EntIT Software LLC
- Applicant Address: US CA Santa Clara
- Assignee: MICRO FOCUS LLC
- Current Assignee: MICRO FOCUS LLC
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F21/55 ; G06N3/08 ; G06F21/57 ; G06N3/04 ; G06N5/02

Abstract:
In some examples, a system extracts features from event data representing events in a computing environment, trains ensembles of machine-learning models for respective analytics modules of a plurality of different types of analytics modules, and detects, by the different types of analytics modules using the respective trained ensembles of machine-learning models, an anomalous entity in response to further event data.
Public/Granted literature
- US20190065738A1 DETECTING ANOMALOUS ENTITIES Public/Granted day:2019-02-28
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