Patents by Inventor Rupal HARIBHAKTI

Rupal HARIBHAKTI 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: 12367428
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Grant
    Filed: April 17, 2024
    Date of Patent: July 22, 2025
    Assignees: ATLASSIAN PTY, LTD., ATLASSIAN US, INC.
    Inventors: Rupal Haribhakti, Aaron Gentleman
  • Publication number: 20240281720
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Application
    Filed: April 17, 2024
    Publication date: August 22, 2024
    Inventors: Rupal HARIBHAKTI, Aaron GENTLEMAN
  • Patent number: 11989632
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: May 21, 2024
    Assignees: ATLASSIAN PTY LTD, ATLASSIAN US, INC.
    Inventors: Rupal Haribhakti, Aaron Gentleman
  • Patent number: 11874937
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: January 16, 2024
    Assignees: ATLASSIAN PTY LTD, ATLASSIAN, INC.
    Inventors: Aaron Gentleman, Rupal Haribhakti
  • Publication number: 20220207429
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Inventors: Rupal HARIBHAKTI, Aaron GENTLEMAN
  • Publication number: 20220207163
    Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Inventors: Aaron GENTLEMAN, Rupal HARIBHAKTI