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US Patent 10270788 Machine learning based anomaly detection

Patent 10270788 was granted and assigned to Netskope on April, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Netskope
Netskope
Date Filed
September 2, 2016
Date of Patent
April 23, 2019
Patent Applicant
Netskope
Netskope
Patent Application Number
15256483
Patent Citations Received
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US Patent 12126655 Machine learning based policy engine preference for data access
0
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US Patent 12079312 Machine learning outlier detection using weighted histogram-based outlier scoring (W-HBOS)
0
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US Patent 12088600 Machine learning system for detecting anomalies in hunt data
0
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US Patent 11509674 Generating machine learning data in salient regions of a feature space
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US Patent 11233815 Vulnerability remediation based on tenant specific policy
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US Patent 10623423 Systems and methods for intelligently implementing a machine learning-based digital threat mitigation service
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US Patent 11748568 Machine learning-based selection of metrics for anomaly detection
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US Patent 11310141 Anomaly detection of model performance in an MLOps platform
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US Patent 11307953 Block-based anomaly detection in computing environments
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US Patent 11775346 Cloud management system with autonomous aberrant behavior detection
•••
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10270788
Patent Primary Examiner
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Theodore C Parsons

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