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US Patent 10581891 Using graph-based models to identify datacenter anomalies

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10581891
Date of Patent
March 3, 2020
Patent Application Number
16134794
Date Filed
September 18, 2018
Patent Citations
‌
US Patent 10142357 Systems and methods for preventing malicious network connections using correlation-based anomaly detection
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US Patent 10127273 Distributed processing of network data using remote capture agents
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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
0
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
0
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US Patent 12118077 Feature extraction and time series anomaly detection over dynamic graphs
0
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
0
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US Patent 10831828 Method and system for improving datacenter operations utilizing layered information model
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US Patent 11256759 Hierarchical graph analysis
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US Patent 11637849 Graph-based query composition
0
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US Patent 11645392 Continuous database security and compliance
0
...
Patent Primary Examiner
‌
Alina A Boutah
Patent abstract

Activities within a network environment are monitored (e.g., using agents). At least a portion of the monitored activities are used to generate a logical graph model. The generated logical graph model is used to determine an anomaly. The detected anomaly is recorded and can be used to generate an alert.

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