Invention Grant
- Patent Title: Endpoint detection and response utilizing machine learning
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Application No.: US15862067Application Date: 2018-01-04
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Publication No.: US10699012B2Publication Date: 2020-06-30
- Inventor: Rahul Chander Kashyap , Vadim Dmitriyevich Kotov , Samuel John Oswald , Homer Valentine Strong
- Applicant: Cylance Inc.
- Applicant Address: US CA Irvine
- Assignee: Cylance Inc.
- Current Assignee: Cylance Inc.
- Current Assignee Address: US CA Irvine
- Agency: Jones Day
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06N20/00 ; H04L29/06 ; G06F21/53 ; G06N3/00

Abstract:
A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.
Public/Granted literature
- US20180196942A1 Endpoint Detection and Response Utilizing Machine Learning Public/Granted day:2018-07-12
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