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US Patent 9225730 Graph based detection of anomalous activity
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Date Filed
March 19, 2014
Date of Patent
December 29, 2015
Patent Application Number
14219819
Patent Citations Received
US Patent 12130878 Deduplication of monitored communications data in a cloud environment
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
0
US Patent 11695828 System and method for peer group detection, visualization and analysis in identity management artificial intelligence systems using cluster based analysis of network identity graphs
0
US Patent 11693958 Processing and storing event data in a knowledge graph format for anomaly detection
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US Patent 11710078 System and method for incremental training of machine learning models in artificial intelligence systems, including incremental training using analysis of network identity graphs
0
US Patent 11765249 Facilitating developer efficiency and application quality
US Patent 11770464 Monitoring communications in a containerized environment
US Patent 11770398 Guided anomaly detection framework
•••
Patent Jurisdiction
United States Patent and Trademark Office
Patent Number
9225730
Patent Primary Examiner
Jason K Gee
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