Patents by Inventor Daniel Joseph Potkalesky

Daniel Joseph Potkalesky 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).

  • Publication number: 20240223572
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.
    Type: Application
    Filed: January 10, 2024
    Publication date: July 4, 2024
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Publication number: 20240169266
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.
    Type: Application
    Filed: January 31, 2024
    Publication date: May 23, 2024
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Patent number: 11934925
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.
    Type: Grant
    Filed: April 14, 2022
    Date of Patent: March 19, 2024
    Assignee: ZixCorp Systems, Inc.
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Patent number: 11930018
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.
    Type: Grant
    Filed: February 9, 2023
    Date of Patent: March 12, 2024
    Assignee: ZixCorp Systems, Inc.
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Publication number: 20230188537
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.
    Type: Application
    Filed: February 9, 2023
    Publication date: June 15, 2023
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Patent number: 11606365
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: March 14, 2023
    Assignee: ZIXCORP SYSTEMS, INC.
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Publication number: 20220237517
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.
    Type: Application
    Filed: April 14, 2022
    Publication date: July 28, 2022
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Patent number: 11341430
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: May 24, 2022
    Assignee: ZixCorp Systems, Inc.
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Publication number: 20200162480
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.
    Type: Application
    Filed: November 19, 2018
    Publication date: May 21, 2020
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele
  • Publication number: 20200160209
    Abstract: According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.
    Type: Application
    Filed: November 19, 2018
    Publication date: May 21, 2020
    Inventors: Daniel Joseph Potkalesky, Mark Stephen DeMichele