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US Patent 10237294 Fingerprinting entities based on activity in an information technology environment

Patent 10237294 was granted and assigned to Splunk on March, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Splunk
Splunk
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Current Assignee
Splunk
Splunk
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102372940
Patent Inventor Names
Joseph Auguste Zadeh0
Rodolfo Soto0
George Apostolopoulos0
John Clifton Pierce0
Date of Patent
March 19, 2019
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Patent Application Number
154200390
Date Filed
January 30, 2017
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Patent Citations Received
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US Patent 11496435 Systems, methods, and apparatus to facilitate mapping a device name to a hardware address
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US Patent 12130878 Deduplication of monitored communications data in a cloud environment
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US Patent 11463466 Monitoring encrypted network traffic
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US Patent 11463465 Automatic determination of user roles and asset types based on network monitoring
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US Patent 11461700 Methods and systems for using artificial intelligence to analyze user activity data
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US Patent 11481381 System and method for non-disruptive in-memory certificate management
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US Patent 11496378 Correlating causes and effects associated with network activity
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US Patent 12095796 Instruction-level threat assessment
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...
Patent Primary Examiner
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Shin-Hon (Eric) Chen
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Patent abstract

Techniques are described for analyzing data regarding activity in an IT environment to determine information regarding the entities associated with the activity and using the information to detect anomalous activity that may be indicative of malicious activity. In an embodiment, a plurality of events reflecting activity by a plurality of entities in an IT environment are processed to resolve the identities of the entities, discover how the entities fit within a topology of the IT environment, and determine what the entities are. This information is then used to generate a entity relationship graph that includes nodes representing the entities in the IT environment and edges connecting the nodes representing interaction relationships between the entities. In some embodiments, baselines are established by monitoring the activity between entities. This baseline information can be represented in the entity relationship graph in the form of directionality applied to the edges. The entity relationship graph can then be monitored to detect anomalous activity.

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