Patents by Inventor Amanda Jewitt

Amanda Jewitt 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: 20220060503
    Abstract: Embodiments are directed to monitoring network traffic using NMCs that may be arranged to provide scores based on threat assessments associated with anomaly classes such that the anomaly classes may be associated with types of anomalous activity. NMCs may employ the anomaly classes, the scores, characteristics of the anomaly classes, or the like, to determine triage models. The NMCs may modify the scores based on the triage models or archival information associated with the anomaly classes. The NMCs may associate the modified scores with the anomaly classes. In response to detecting anomalous activity, the NMCs may provide other scores based on the anomalous activity and provide a report that includes the other scores to a user.
    Type: Application
    Filed: November 1, 2021
    Publication date: February 24, 2022
    Inventors: Po-Shen Lee, Songqian Chen, Amanda Jewitt, Olga Kazakova, Todd Kemmerling, Bhushan Prasad Khanal, Katherine Megan Porterfield, Jade Alexi Tabony, Karan Rajesh Thakker, Xue Jun Wu
  • Patent number: 11165814
    Abstract: Embodiments are directed to monitoring network traffic using NMCs that may be arranged to provide scores based on threat assessments associated with anomaly classes such that the anomaly classes may be associated with types of anomalous activity. NMCs may employ the anomaly classes, the scores, characteristics of the anomaly classes, or the like, to determine triage models. The NMCs may modify the scores based on the triage models or archival information associated with the anomaly classes. The NMCs may associate the modified scores with the anomaly classes. In response to detecting anomalous activity, the NMCs may provide other scores based on the anomalous activity and provide a report that includes the other scores to a user.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: November 2, 2021
    Assignee: ExtraHop Networks, Inc.
    Inventors: Po-Shen Lee, Songqian Chen, Amanda Jewitt, Olga Kazakova, Todd Kemmerling, Bhushan Prasad Khanal, Katherine Megan Porterfield, Jade Alexi Tabony, Karan Rajesh Thakker, Xue Jun Wu
  • Publication number: 20210037043
    Abstract: Embodiments are directed to monitoring network traffic using NMCs that may be arranged to provide scores based on threat assessments associated with anomaly classes such that the anomaly classes may be associated with types of anomalous activity. NMCs may employ the anomaly classes, the scores, characteristics of the anomaly classes, or the like, to determine triage models. The NMCs may modify the scores based on the triage models or archival information associated with the anomaly classes. The NMCs may associate the modified scores with the anomaly classes. In response to detecting anomalous activity, the NMCs may provide other scores based on the anomalous activity and provide a report that includes the other scores to a user.
    Type: Application
    Filed: July 29, 2019
    Publication date: February 4, 2021
    Inventors: Po-Shen Lee, Songqian Chen, Amanda Jewitt, Olga Kazakova, Todd Kemmerling, Bhushan Prasad Khanal, Katherine Megan Porterfield, Jade Alexi Tabony, Karan Rajesh Thakker, Xue Jun Wu