Patents by Inventor Saeed A. Alsaeed

Saeed A. Alsaeed 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).

  • Predicting false positives from vulnerability scanners using data analytics and machine learning
    Patent number: 11381590
    Abstract: A method and system for remediating a vulnerability in a first computing resource asset in a computer network, including receiving vulnerability scanning results data from each respective one of a plurality of diverse vulnerability scanners, storing the vulnerability scanning results data as a collection of vulnerability scanning results data, normalizing and extracting common features from the normalized data, vectorizing the common features to determine feature vectors, applying a false positive predictor model to predict a false positive, separating vulnerability scanning results data that corresponds to one or more predicted false positives from a remainder of the collection of vulnerability scanning result data, and sending the remainder of the collection of vulnerability scanning results data to a second computer resource asset.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: July 5, 2022
    Assignee: Saudi Arabian Oil Company
    Inventors: Saeed A. Alsaeed, Irslan Siddiq
  • PREDICTING FALSE POSITIVES FROM VULNERABILITY SCANNERS USING DATA ANALYTICS AND MACHINE LEARNING
    Publication number: 20210168165
    Abstract: A method and system for remediating a vulnerability in a first computing resource asset in a computer network, including receiving vulnerability scanning results data from each respective one of a plurality of diverse vulnerability scanners, storing the vulnerability scanning results data as a collection of vulnerability scanning results data, normalizing and extracting common features from the normalized data, vectorizing the common features to determine feature vectors, applying a false positive predictor model to predict a false positive, separating vulnerability scanning results data that corresponds to one or more predicted false positives from a remainder of the collection of vulnerability scanning result data, and sending the remainder of the collection of vulnerability scanning results data to a second computer resource asset.
    Type: Application
    Filed: December 2, 2019
    Publication date: June 3, 2021
    Inventors: Saeed A. Alsaeed, Irslan Siddiq