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US Patent 11777978 Methods and systems for accurately assessing application access risk

Patent 11777978 was granted and assigned to vArmour Networks on October, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
vArmour Networks
vArmour Networks
Current Assignee
vArmour Networks
vArmour Networks
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11777978
Patent Inventor Names
Paul Bigbee
Keith Stewart
Jason Parry
Hsisheng Wang
Marc Woolward
Date of Patent
October 3, 2023
Patent Application Number
17162769
Date Filed
January 29, 2021
Patent Citations
‌
US Patent 7516476 Methods and apparatus for automated creation of security policy
‌
US Patent 7519062 Method and apparatus for implementing forwarding decision shortcuts at a network switch
‌
US Patent 7627671 Monitoring and performance management of component-based applications
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US Patent 7694181 Automated software testing framework
‌
US Patent 7725937 Capturing a security breach
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US Patent 7742414 Lightweight indexing for fast retrieval of data from a flow-level compressed packet trace
‌
US Patent 7774837 Securing network traffic by distributing policies in a hierarchy over secure tunnels
‌
US Patent 7849495 Method and apparatus for passing security configuration information between a client and a security policy server
...
Patent Primary Examiner
‌
Matthew Smithers
CPC Code
‌
G06F 16/9024
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G06F 16/23
‌
H04L 63/20
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H04L 63/105
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H04L 63/104
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H04L 63/102
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H04L 63/1433
Patent abstract

Systems and methods for assessing an application access risk are provided. An example method commences with collecting data concerning relationships between an application, one or more client devices, and one or more users in a computing environment. The method includes updating a graph database including nodes and edges. The nodes represent the application, the one or more client devices, and the one or more users and the edges represent relationships between the application, the one or more client devices, and the one or more users. The method continues with enriching the graph database by associating the nodes with metadata including information concerning the one or more users accessing the application from the one or more client devices. The method further includes analyzing the graph database to identify a subset of nodes used to access the application and displaying a graphical representation of the subset of nodes.

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