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US Patent 10009375 Systems and methods for artificial model building techniques

Patent 10009375 was granted and assigned to KnowBe4 on June, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
KnowBe4
KnowBe4
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Current Assignee
KnowBe4
KnowBe4
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
100093750
Patent Inventor Names
Eric Sites0
Date of Patent
June 26, 2018
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Patent Application Number
158297190
Date Filed
December 1, 2017
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Patent Citations Received
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US Patent 11928212 Generating simulated spear phishing messages and customized cybersecurity training modules using machine learning
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US Patent 11250038 Question and answer pair generation using machine learning
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US Patent 11250080 Method, apparatus, storage medium and electronic device for establishing question and answer system
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US Patent 11301746 Persona-driven and artificially-intelligent avatar
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US Patent 11334673 Systems and methods for AIDA campaign controller intelligent records
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US Patent 11544352 Machine-learning model fraud detection system and fraud detection method
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US Patent 11551142 Systems and methods for conversational based ticket logging
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US Patent 10929392 Artificial intelligence system for automated generation of realistic question and answer pairs
Patent Primary Examiner
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Bradley Holder
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Patent abstract

Embodiments disclosed describe a security awareness system may adaptively learn the best design of a simulated phishing campaign to get a user to perform the requested actions, such as clicking a hyperlink or opening a file. In some implementations, the system may adapt an ongoing campaign based on user's responses to messages in the campaign, along with the system's learned awareness. The learning process implemented by the security awareness system can be trained by observing the behavior of other users in the same company, other users in the same industry, other users that share similar attributes, all other users of the system, or users that have user attributes that match criteria set by the system, or that match attributes of a subset of other users in the system.

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