Patents by Inventor Fatemeh Kazemeyni

Fatemeh Kazemeyni 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).

  • ASSET ANOMALY DETECTION BASED ON CROSS ORGANIZATIONAL ASSET DATA MODELING
    Publication number: 20240129335
    Abstract: Methods and systems for identifying assets for review. The methods described herein involve generating an organizational statistical model describing assets associated with a first organization and generating a report identifying a discrepancy between the organizational statistical model and an identified asset of the first type associated with the first organization.
    Type: Application
    Filed: November 27, 2023
    Publication date: April 18, 2024
    Applicant: Rapid7, Inc.
    Inventors: Richard Tsang, Fatemeh Kazemeyni, Evgeniya Barkova
  • Identifying assets for review
    Patent number: 11909759
    Abstract: Methods and systems for identifying assets for review. The methods described herein involve generating an organizational statistical model describing assets associated with a first organization and generating a report identifying a discrepancy between the organizational statistical model and an identified asset of the first type associated with the first organization.
    Type: Grant
    Filed: August 22, 2019
    Date of Patent: February 20, 2024
    Assignee: Rapid7, Inc.
    Inventors: Richard Tsang, Fatemeh Kazemeyni, Evgeniya Barkova
  • Detecting security risks based on open ports
    Patent number: 11785034
    Abstract: Disclosed herein are methods, systems, and processes to detect anomalous computing assets based on open ports. Security data associated with computing assets executing in a computing environment is received from an agent executing on the computing assets. Open port information associated with the computing assets is extracted from the security data. The open port information and a list of computing assets with the open port information is used to generate a type similarity model and an open port model. The type similarity model clusters the computing assets and the open port model determines whether a port associated with a computing asset with the open port information is likely to be open or should be open in the computing environment, permitting detection of anomalous computing assets in the computing environment.
    Type: Grant
    Filed: February 2, 2022
    Date of Patent: October 10, 2023
    Assignee: Rapid7, Inc.
    Inventor: Fatemeh Kazemeyni
  • ANOMALOUS ASSET DETECTION BASED ON OPEN PORTS
    Publication number: 20220159026
    Abstract: Disclosed herein are methods, systems, and processes to detect anomalous computing assets based on open ports. Security data associated with computing assets executing in a computing environment is received from an agent executing on the computing assets. Open port information associated with the computing assets is extracted from the security data. The open port information and a list of computing assets with the open port information is used to generate a type similarity model and an open port model. The type similarity model clusters the computing assets and the open port model determines whether a port associated with a computing asset with the open port information is likely to be open or should be open in the computing environment, permitting detection of anomalous computing assets in the computing environment.
    Type: Application
    Filed: February 2, 2022
    Publication date: May 19, 2022
    Applicant: Rapid7, Inc.
    Inventor: Fatemeh Kazemeyni