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US Patent 10581891 Using graph-based models to identify datacenter anomalies
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Patent
Date Filed
September 18, 2018
Date of Patent
March 3, 2020
Patent Application Number
16134794
Patent Citations
US Patent 10142357 Systems and methods for preventing malicious network connections using correlation-based anomaly detection
US Patent 10127273 Distributed processing of network data using remote capture agents
US Patent 10389742 Security feature extraction for a network
US Patent 10033611 Transaction lifecycle management
US Patent 10115111 Modeling users for fraud detection and analysis
Patent Citations Received
US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
0
US Patent 12120140 Detecting threats against computing resources based on user behavior changes
0
US Patent 12118077 Feature extraction and time series anomaly detection over dynamic graphs
0
US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
0
US Patent 10831828 Method and system for improving datacenter operations utilizing layered information model
US Patent 11256759 Hierarchical graph analysis
US Patent 11637849 Graph-based query composition
0
US Patent 11645392 Continuous database security and compliance
0
US Patent 11677772 Using graph-based models to identify anomalies in a network environment
0
US Patent 11689553 User session-based generation of logical graphs and detection of anomalies
0
•••
Patent Jurisdiction
United States Patent and Trademark Office
Patent Number
10581891
Patent Primary Examiner
Alina A Boutah
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