Patents by Inventor Eric Wayne Sites

Eric Wayne Sites 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).

  • Systems and methods for determining a job score from a job title
    Patent number: 11902317
    Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.
    Type: Grant
    Filed: April 4, 2022
    Date of Patent: February 13, 2024
    Assignee: KnowBe4, Inc.
    Inventors: Eric Wayne Sites, Ryan Scott Davis, Daniel James DeCola
  • SYSTEMS AND METHODS FOR DETERMINING A JOB SCORE FROM A JOB TITLE
    Publication number: 20220224714
    Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.
    Type: Application
    Filed: April 4, 2022
    Publication date: July 14, 2022
    Applicant: KnowBe4, Inc.
    Inventors: Eric Wayne Sites, Ryan Scott Davis, Daniel James DeCola
  • Systems and methods for determining a job score from a job title
    Patent number: 11297093
    Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.
    Type: Grant
    Filed: April 22, 2021
    Date of Patent: April 5, 2022
    Assignee: KnowBe4, Inc.
    Inventors: Eric Wayne Sites, Ryan Scott Davis, Daniel James DeCola
  • SYSTEMS AND METHODS FOR DETERMINING A JOB SCORE FROM A JOB TITLE
    Publication number: 20210400077
    Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.
    Type: Application
    Filed: April 22, 2021
    Publication date: December 23, 2021
    Inventors: Eric Wayne Sites, Ryan Scott Davis, Daniel James DeCola
  • Systems and methods for determining a job score from a job title
    Patent number: 10992699
    Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: April 27, 2021
    Assignee: KnowBe4, Inc.
    Inventors: Eric Wayne Sites, Ryan Scott Davis, Daniel James DeCola