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US Patent 12126655 Machine learning based policy engine preference for data access

Patent 12126655 was granted and assigned to Netskope on October, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Netskope
Netskope
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Current Assignee
Netskope
Netskope
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121266550
Patent Inventor Names
Siva Prasad Badana0
Naiming Chu0
Date of Patent
October 22, 2024
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Patent Application Number
183200950
Date Filed
May 18, 2023
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Patent Citations
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US Patent 10237280 Management and control of mobile computing device using local and remote software agents
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US Patent 10270788 Machine learning based anomaly detection
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US Patent 10380505 Methods and systems for dynamically generating real-time recommendations
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US Patent 10440025 Remotely controlling access to online content
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US Patent 10560468 Window-based rarity determination using probabilistic suffix trees for network security analysis
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US Patent 10803005 Systems and methods for enforcing policies in the discovery of anonymizing proxy communications
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US Patent 10853350 System for associating data policies with data objects
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US Patent 10853897 Systems and methods for developing, monitoring, and enforcing agreements, understandings, and/or contracts
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...
Patent Primary Examiner
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Joseph P Hirl
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Patent abstract

A policy-controlled access system comprising a client device running a local application, A mid-link server monitors network traffic from the client device. The network traffic includes third-party content accessed by a user on the client device. A request for data from the end-user is received using the local application, a category associated with the request for the data is determined, and a plurality of policies associated with access to the data is determined based on the category. A machine-learning based Uniform Resource Locator (URL) score associated with the data is determined based on URLs extracted from user activities. A machine learning based policy engine preference is generated based on priority levels of the plurality of policies. The access to the data is provided based on the machine-learning based URL score in accordance with the machine learning based policy engine preference.

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