Patents by Inventor Rami Faris HABAL

Rami Faris HABAL 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: 11790060
    Abstract: Introduced here are computer programs and computer-implemented techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication. These models can be stored in profiles that are associated with the employees. At a high level, these profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Moreover, remediation may be performed if an account is determined to be compromised based on its recent activity.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: October 17, 2023
    Assignee: Abnormal Security Corporation
    Inventors: Rami Faris Habal, Abhijit Bagri, Yea So Jung, Fang Shuo Deng, Jeremy Kao, Jeshua Alexis Bratman, Umut Gultepe, Hariank Sagar Muthakana
  • Patent number: 11663303
    Abstract: Techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication are disclosed. These models can be stored in profiles that are associated with the employees. Such profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Remediation can be performed if an account is determined to be compromised based on its recent activity.
    Type: Grant
    Filed: July 9, 2022
    Date of Patent: May 30, 2023
    Assignee: Abnormal Security Corporation
    Inventors: Rami Faris Habal, Abhijit Bagri, Yea So Jung, Fang Shuo Deng, Jeremy Kao, Jeshua Alexis Bratman, Umut Gultepe, Hariank Sagar Muthakana
  • Publication number: 20220407887
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Application
    Filed: August 24, 2022
    Publication date: December 22, 2022
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Publication number: 20220342966
    Abstract: Techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication are disclosed. These models can be stored in profiles that are associated with the employees. Such profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Remediation can be performed if an account is determined to be compromised based on its recent activity.
    Type: Application
    Filed: July 9, 2022
    Publication date: October 27, 2022
    Inventors: Rami Faris Habal, Abhijit Bagri, Yea So Jung, Fang Shuo Deng, Jeremy Kao, Jeshua Alexis Bratman, Umut Gultepe, Hariank Sagar Muthakana
  • Patent number: 11483344
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: October 25, 2022
    Assignee: Abnormal Security Corporation
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Patent number: 11477234
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Grant
    Filed: February 25, 2021
    Date of Patent: October 18, 2022
    Assignee: Abnormal Security Corporation
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Patent number: 11477235
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: October 18, 2022
    Assignee: Abnormal Security Corporation
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Publication number: 20220131821
    Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.
    Type: Application
    Filed: October 25, 2021
    Publication date: April 28, 2022
    Inventors: Rami Faris Habal, Kevin Lau, Sharan Dev Sankar, Yea So Jung, Dhruv Purushottam, Venkat Krishnamoorthi, Franklin X. Wang, Jeshua Alexis Bratman, Jocelyn Mikael Raphael Beauchesne, Abhijit Bagri, Sanjay Jayakumar
  • Publication number: 20210374679
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Application
    Filed: August 12, 2021
    Publication date: December 2, 2021
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Publication number: 20210374680
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Application
    Filed: August 12, 2021
    Publication date: December 2, 2021
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
  • Publication number: 20210271741
    Abstract: Introduced here are computer programs and computer-implemented techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication. These models can be stored in profiles that are associated with the employees. At a high level, these profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Moreover, remediation may be performed if an account is determined to be compromised based on its recent activity.
    Type: Application
    Filed: March 2, 2021
    Publication date: September 2, 2021
    Inventors: Rami Faris HABAL, Abhijit BAGRI, Yea So JUNG, Fang Shuo DENG, Jeremy KAO, Jeshua Alexis BRATMAN, Umut GULTEPE, Hariank Sagar Muthakana
  • Publication number: 20210272066
    Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.
    Type: Application
    Filed: February 25, 2021
    Publication date: September 2, 2021
    Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu