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US Patent 11973784 Natural language interface for an anomaly detection framework

Patent 11973784 was granted and assigned to Lacework on April, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Lacework
Lacework
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Current Assignee
Lacework
Lacework
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119737840
Patent Inventor Names
Úlfar Erlingsson0
Jay Parikh0
Yijou Chen0
Date of Patent
April 30, 2024
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Patent Application Number
181546840
Date Filed
January 13, 2023
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Patent Citations
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US Patent 7707411 Method and system for providing a trusted platform module in a hypervisor environment
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US Patent 7739211 Dynamic SNA-based anomaly detection using unsupervised learning
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US Patent 7747559 Systems and processes for automated criteria and attribute generation, searching, auditing and reporting of data
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US Patent 7765431 Preservation of error data on a diskless platform
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US Patent 8050907 Generating software components from business rules expressed in a natural language
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US Patent 8086852 Providing a trusted platform module in a hypervisor environment
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US Patent 8103906 System and method for providing total real-time redundancy for a plurality of client-server systems
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US Patent 8122122 Event monitoring and collection
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...
Patent Citations Received
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US Patent 12124569 Command inspection method and apparatus, computer device, and storage medium
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US Patent 12107738 User interfaces for cloud lifecycle management
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US Patent 12120000 Apparatus and a method for the generation of dynamic data packets
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Patent Primary Examiner
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Alina A Boutah
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CPC Code
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G06F 16/2456
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G06F 16/9024
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G06F 16/9038
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G06F 16/9535
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G06F 16/9537
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G06F 21/57
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H04L 63/10
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H04L 63/1425
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Patent abstract

A natural language interface for an anomaly detection framework, including: receiving a natural language input associated with a cloud deployment; generating a query corresponding to the natural language input by disambiguating at least a portion of the natural language input based on data describing activity associated with an anomaly detection framework monitoring the cloud deployment; and providing, based on a response to the query, a response to the natural language input.

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