Patents by Inventor Taylor Osmun

Taylor Osmun 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: 12124837
    Abstract: Systems and methods are disclosed to implement a delta data collection technique for collecting machine characteristics data from client machines. In embodiments, the collected data is used by a machine assessment service to maintain a virtual representation of the client machine for assessments. To initialize the collection process, the client uploads an initial copy of the data in full. Subsequently, the client determines periodic deltas between a current baseline of the data and a last reported baseline, and the deltas are uploaded as patches. The machine assessment service then applies these patches to update the virtual representation of the client machine. In embodiments, to facilitate the generation or uploading of the patches, the client may generate the baselines in a different encoding format as used by the data. For example, baselines in the new encoding format may be more easily compared and manipulated during the patch generation process.
    Type: Grant
    Filed: January 26, 2023
    Date of Patent: October 22, 2024
    Assignee: Rapid7, Inc.
    Inventors: Shreyas Khare, Taylor Osmun, Paul-Andrew Joseph Miseiko, Sheung Hei Joseph Yeung
  • Publication number: 20230176856
    Abstract: Systems and methods are disclosed to implement a delta data collection technique for collecting machine characteristics data from client machines. In embodiments, the collected data is used by a machine assessment service to maintain a virtual representation of the client machine for assessments. To initialize the collection process, the client uploads an initial copy of the data in full. Subsequently, the client determines periodic deltas between a current baseline of the data and a last reported baseline, and the deltas are uploaded as patches. The machine assessment service then applies these patches to update the virtual representation of the client machine. In embodiments, to facilitate the generation or uploading of the patches, the client may generate the baselines in a different encoding format as used by the data. For example, baselines in the new encoding format may be more easily compared and manipulated during the patch generation process.
    Type: Application
    Filed: January 26, 2023
    Publication date: June 8, 2023
    Applicant: Rapid7, Inc.
    Inventors: Shreyas Khare, Taylor Osmun, Paul-Andrew Joseph Miseiko, Sheung Hei Joseph Yeung
  • Patent number: 11593085
    Abstract: Systems and methods are disclosed to implement a delta data collection technique for collecting machine characteristics data from client machines. In embodiments, the collected data is used by a machine assessment service to maintain a virtual representation of the client machine for assessments. To initialize the collection process, the client uploads an initial copy of the data in full. Subsequently, the client determines periodic deltas between a current baseline of the data and a last reported baseline, and the deltas are uploaded as patches. The machine assessment service then applies these patches to update the virtual representation of the client machine. In embodiments, to facilitate the generation or uploading of the patches, the client may generate the baselines in a different encoding format as used by the data. For example, baselines in the new encoding format may be more easily compared and manipulated during the patch generation process.
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: February 28, 2023
    Assignee: Rapid7, Inc.
    Inventors: Shreyas Khare, Taylor Osmun, Paul-Andrew Joseph Miseiko, Sheung Hei Joseph Yeung, Ross Barrett