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US Patent 10205736 Behavioral baselining of network systems

Patent 10205736 was granted and assigned to Catbird Networks on February, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
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Catbird Networks
Current Assignee
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Catbird Networks
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10205736
Patent Inventor Names
Holland Carrere Barry29
Malcolm Rieke29
Date of Patent
February 12, 2019
Patent Application Number
15443857
Date Filed
February 27, 2017
Patent Citations Received
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US Patent 12130878 Deduplication of monitored communications data in a cloud environment
1
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US Patent 12095796 Instruction-level threat assessment
2
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US Patent 12095879 Identifying encountered and unencountered conditions in software applications
3
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
4
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
5
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US Patent 11470172 Using network connections to monitor a data center
6
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US Patent 10356121 Systems and methods for dynamic network security control and configuration
7
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US Patent 10666673 Behavioral baselining of network systems
8
...
Patent Primary Examiner
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Beemnet W Dada
Patent abstract

Systems and methods for behavioral baselining of network systems. In one embodiment, a method includes: storing, in an asset attribute database, information regarding assets, wherein each asset comprises at least one attribute; storing, in a relationship database, information regarding relationships, wherein each relationship comprises at least one attribute; selecting, from the asset attribute database, assets based on at least one attribute value; selecting, from the relationship database, one or more relationships based on at least one attribute value, the selected relationships including a first relationship; creating a baseline, wherein the baseline comprises the selected assets and the selected relationships; connecting a first event stream to the baseline, wherein the first event stream comprises a set of events, and each event comprises attributes; and detecting a drift from the baseline, wherein the drift is determined using the first event stream and is based on a failure of at least one attribute value in a first event of the first event stream to match at least one attribute value of the first relationship.

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