Patents by Inventor Siegfried Martens
Siegfried Martens has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11677767Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: March 7, 2022Date of Patent: June 13, 2023Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 11503050Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: March 25, 2022Date of Patent: November 15, 2022Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20220217165Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: March 25, 2022Publication date: July 7, 2022Applicant: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20220201018Abstract: Emboiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: March 7, 2022Publication date: June 23, 2022Applicant: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 11349853Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: August 25, 2021Date of Patent: May 31, 2022Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20220038475Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: August 25, 2021Publication date: February 3, 2022Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 11108792Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: December 14, 2020Date of Patent: August 31, 2021Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20210136091Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: December 14, 2020Publication date: May 6, 2021Applicant: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 10868820Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: April 22, 2020Date of Patent: December 15, 2020Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20200287917Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: April 22, 2020Publication date: September 10, 2020Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 10673876Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: GrantFiled: May 15, 2019Date of Patent: June 2, 2020Assignee: KnowBe4, Inc.Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Publication number: 20190356679Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.Type: ApplicationFiled: May 15, 2019Publication date: November 21, 2019Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
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Patent number: 8725755Abstract: Methods and apparatus include presenting an initial set of names to a user. The user selects a set of names from those presented. An Interactive Evolutionary Algorithm (IEA) extracts features of each selected name from a database of names and features to form a feature set. The IEA forms a set of match features that are chosen from the feature set according to a priority function and/or weighting of the features, either of which may vary in succeeding iterations. The IEA searches the database to obtain a candidate set of names, where each name has features matching the match features. One or more names is chosen from the candidate set and added into a presentation set of names. The IEA may repeat the formation of the match features, candidate set, and selection of one or more names from the candidate set until the new presentation set is complete.Type: GrantFiled: May 12, 2008Date of Patent: May 13, 2014Assignee: Icosystem CorporationInventors: Julien Budynek, Una-May O'Reilly, Daphna Buchsbaum, Pablo Funes, Eric Bonabeau, Siegfried Martens
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Publication number: 20090070320Abstract: Methods and apparatus include presenting an initial set of names to a user. The user selects a set of names from those presented. An Interactive Evolutionary Algorithm (IEA) extracts features of each selected name from a database of names and features to form a feature set. The IEA forms a set of match features that are chosen from the feature set according to a priority function and/or weighting of the features, either of which may vary in succeeding iterations. The IEA searches the database to obtain a candidate set of names, where each name has features matching the match features. One or more names is chosen from the candidate set and added into a presentation set of names. The IEA may repeat the formation of the match features, candidate set, and selection of one or more names from the candidate set until the new presentation set is complete.Type: ApplicationFiled: May 12, 2008Publication date: March 12, 2009Applicant: Icosystem CorporationInventors: Julien Budynek, Una-May O'Reilly, Daphna Buchsbaum, Pablo Funes, Eric Bonabeau, Siegfried Martens