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US Patent 11777986 Systems and methods for AIDA based exploit selection

Patent 11777986 was granted and assigned to KnowBe4 on October, 2023 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
KnowBe4
KnowBe4
Current Assignee
KnowBe4
KnowBe4
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11777986
Patent Inventor Names
Eric Sites
Stu Sjouwerman
Greg Kras
Alin Irimie
Date of Patent
October 3, 2023
Patent Application Number
15829732
Date Filed
December 1, 2017
Patent Citations
‌
US Patent 8484741 Software service to facilitate organizational testing of employees to determine their potential susceptibility to phishing scams
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US Patent 7599992 Autonomous rendering of email attachments
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US Patent 8041769 Generating phish messages
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US Patent 8464346 Method and system simulating a hacking attack on a network
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US Patent 9813454 Cybersecurity training system with automated application of branded content
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US Patent 9870715 Context-aware cybersecurity training systems, apparatuses, and methods
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US Patent 9876753 Automated message security scanner detection system
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US Patent 9894092 Systems and methods for performing or creating simulated phishing attacks and phishing attack campaigns
...
Patent Primary Examiner
‌
William S Powers
CPC Code
‌
H04L 63/1483
Patent abstract

Systems and methods of embodiments are described of a campaign controller that establishes a model for using a plurality of types of exploits based on at least results of simulated phishing communications using those exploits, and uses the model to communicate a first simulated phishing communication to one or more devices of a user where the type of exploit used for the first simulated phishing communication is selected using the model. The campaign controller applies either artificial intelligence or machine learning to the results of simulated phishing communications to establish the model. The campaign controller selects the exploit by applying either artificial intelligence or machine learning to one or more attributes of the user and/or one or more responses from the user.

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