Patents by Inventor Samantha Staszak

Samantha Staszak 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).

  • SYSTEMS AND METHODS FOR DETECTING SECURITY INCIDENTS ACROSS CLOUD-BASED APPLICATION SERVICES
    Publication number: 20220131883
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Application
    Filed: February 12, 2020
    Publication date: April 28, 2022
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
  • Systems and methods for detecting security incidents across cloud-based application services
    Patent number: 10931699
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Grant
    Filed: February 12, 2020
    Date of Patent: February 23, 2021
    Assignee: Obsidian Security, Inc.
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
  • SYSTEMS AND METHODS FOR DETECTING SECURITY INCIDENTS ACROSS CLOUD-BASED APPLICATION SERVICES
    Publication number: 20200259852
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Application
    Filed: February 12, 2020
    Publication date: August 13, 2020
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson