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Systems and methods for determining a job score from a job title

机译:从职称确定工作评分的系统和方法

摘要

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.
机译:这里公开的实施例描述了服务器,例如安全感知服务器或人工智能机器学习系统,其基于用户的职位标题为用户建立作业分数。在实施例中,用户对恶意网络安全攻击的脆弱性,用户与恶意攻击啮合的倾向,并且可能被发送给用户的恶意攻击的严重性以及对用户组织的伤害的严重性用户与恶意攻击与用户风险分数表示。可以基于用户的频率分数,用户的倾向分数,对用户的一个或多个来计算用于安全意识系统的用户的风险评分,或者是安全意识系统的一组用户。对于用户,以及用户的工作分数。

著录项

  • 公开/公告号US10992699B1

    专利类型

  • 公开/公告日2021-04-27

    原文格式PDF

  • 申请/专利权人 KNOWBE4 INC.;

    申请/专利号US202017038909

  • 申请日2020-09-30

  • 分类号G06N20;H04L29/06;G06K9/62;G06N20/20;

  • 国家 US

  • 入库时间 2022-08-24 18:23:04

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