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US Patent 11397808 Attack detection based on graph edge context

Patent 11397808 was granted and assigned to Confluera on July, 2022 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
Confluera
Confluera
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Current Assignee
Confluera
Confluera
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113978080
Patent Inventor Names
Niloy Mukherjee0
Sandeep Siroya0
Pradeep Gopanapalli Venkata0
Vinay Prabhu0
Chamnan So0
Date of Patent
July 26, 2022
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Patent Application Number
174652090
Date Filed
September 2, 2021
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Patent Citations
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US Patent 10102374 Method of remediating a program and system thereof by undoing operations
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US Patent 10121000 System and method to detect premium attacks on electronic networks and electronic devices
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US Patent 10257219 Correlated risk in cybersecurity
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US Patent 10218588 Systems and methods for multi-stream performance patternization and optimization of virtual meetings
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US Patent 10652266 Automated threat modeling using machine-readable threat models
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US Patent 10425429 System and method for cyber security analysis and human behavior prediction
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US Patent 10419450 Detection of anomalies, threat indicators, and threats to network security
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US Patent 10417424 Method of remediating operations performed by a program and system thereof
...
Patent Citations Received
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US Patent 12131206 Bidirectional application programming interface enabling operational action functionality in one-way transfer systems
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US Patent 11880452 Learning based protection of information technology infrastructure
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US Patent 12113814 User device agent event detection and recovery
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Patent Primary Examiner
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Joseph P Hirl
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CPC Code
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G06F 21/6218
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G06F 21/577
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G06F 21/566
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G06F 21/552
0

Infrastructure attacks based on graph edge context are identified by receiving an execution graph constructed by a central service based on behaviors monitored by a plurality of agents deployed on respective systems including a first system. The execution graph comprises a plurality of execution trails. One or more tags are applied to each edge of an execution trail of the execution graph based on at least one of temporal context or spatial context associated with the edge. One or more behaviors associated with the edge of the execution trail happen across an enterprise infrastructure involving the first system. The execution trail enriched with the one or more tags is analyzed. An action that is performed to mitigate security risks in the execution graph is determined based on the analysis.

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