Patents by Inventor Kristian Kime

Kristian Kime 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).

  • Patent number: 11677767
    Abstract: 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: Grant
    Filed: March 7, 2022
    Date of Patent: June 13, 2023
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Patent number: 11503050
    Abstract: 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: Grant
    Filed: March 25, 2022
    Date of Patent: November 15, 2022
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20220217165
    Abstract: 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: Application
    Filed: March 25, 2022
    Publication date: July 7, 2022
    Applicant: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20220201018
    Abstract: 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: Application
    Filed: March 7, 2022
    Publication date: June 23, 2022
    Applicant: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Patent number: 11349853
    Abstract: 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: Grant
    Filed: August 25, 2021
    Date of Patent: May 31, 2022
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20220038475
    Abstract: 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: Application
    Filed: August 25, 2021
    Publication date: February 3, 2022
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Patent number: 11108792
    Abstract: 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: Grant
    Filed: December 14, 2020
    Date of Patent: August 31, 2021
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20210136091
    Abstract: 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: Application
    Filed: December 14, 2020
    Publication date: May 6, 2021
    Applicant: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Patent number: 10868820
    Abstract: 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: Grant
    Filed: April 22, 2020
    Date of Patent: December 15, 2020
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20200287917
    Abstract: 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: Application
    Filed: April 22, 2020
    Publication date: September 10, 2020
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Patent number: 10673876
    Abstract: 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: Grant
    Filed: May 15, 2019
    Date of Patent: June 2, 2020
    Assignee: KnowBe4, Inc.
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime
  • Publication number: 20190356679
    Abstract: 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: Application
    Filed: May 15, 2019
    Publication date: November 21, 2019
    Inventors: Eric Sites, Greg Kras, Alin Irimie, Stu Sjouwerman, Marcio Castilho, Siegfried Martens, Eric Bonabeau, Kristian Kime