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US Patent 11907393 Enriched document-sensitivity metadata using contextual information

Patent 11907393 was granted and assigned to Netskope on February, 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
119073930
Patent Inventor Names
Arjun Sambamoorthy0
Krishna Narayanaswamy0
Date of Patent
February 20, 2024
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Patent Application Number
178787810
Date Filed
August 1, 2022
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Patent Citations
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US Patent 7996373 Method and apparatus for detecting policy violations in a data repository having an arbitrary data schema
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US Patent 8073255 Keyword generation process
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US Patent 8127365 Origination-based content protection for computer systems
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US Patent 8130747 System and method of traffic inspection and stateful connection forwarding among geographically dispersed network appliances organized as clusters
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US Patent 8291500 Systems and methods for automated malware artifact retrieval and analysis
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US Patent 8365243 Image leak prevention using geotagging
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US Patent 8438630 Data loss prevention system employing encryption detection
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US Patent 8544060 Method and system for detecting and protecting against potential data loss from unknown applications
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...
Patent Primary Examiner
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Richard A McCoy
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CPC Code
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G06F 21/6227
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G06F 16/285
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G06F 16/93
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G06F 9/547
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Patent abstract

The technology disclosed includes a system to efficiently classify sensitivity of document generated by and downloaded from cloud-based provider services. The system monitors network traffic at a document-generation initiating endpoint and receives a web page identifying the document generated. The system parses the network traffic that selects the document for download, based on the user selecting a link, and intercepts a document handle in an API parameter string used to download the document. The system interprets the document handle to analyze sensitivity of the document to assign a sensitive classification to the document. The sensitivity classification is encoded into the document header metadata. The encoded sensitivity classification can be used to enhance security, for example, preventing data exfiltration.

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