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US Patent 10986114 Graph-based user tracking and threat detection

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
109861141
Patent Inventor Names
Murat Bog1
Harish Kumar Bharat Singh1
Vikram Kapoor1
Yijou Chen1
Date of Patent
April 20, 2021
1
Patent Application Number
164592071
Date Filed
July 1, 2019
1
Patent Citations
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US Patent 10127273 Distributed processing of network data using remote capture agents
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US Patent 10205736 Behavioral baselining of network systems
1
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US Patent 10142357 Systems and methods for preventing malicious network connections using correlation-based anomaly detection
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US Patent 10389742 Security feature extraction for a network
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US Patent 10033611 Transaction lifecycle management
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US Patent 10115111 Modeling users for fraud detection and analysis
Patent Citations Received
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
9
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US Patent 11979422 Elastic privileges in a secure access service edge
10
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US Patent 11991198 User-specific data-driven network security
11
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US Patent 12095794 Universal cloud data ingestion for stream processing
12
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US Patent 12095796 Instruction-level threat assessment
13
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US Patent 12095879 Identifying encountered and unencountered conditions in software applications
14
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
15
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
16
...
Patent Primary Examiner
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Mahfuzur Rahman
1
Patent abstract

Log data associated with at least one user session in a network environment associated with an original user is received. A logical graph is generated using at least a portion of the received log data. One example of such a logical graph is a privilege change graph that models privilege changes between processes. Another example of such a logical graph is a user login graph that models machines with which the original user interacts. Another example of such a logical graph is a machine-server graph that clusters machines into nodes based on resources executing on the machine. The generated logical graph is used to detect an anomaly.

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