Patents by Inventor Alexander Beebe Bond

Alexander Beebe Bond 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).

  • Anomaly detection based on communication between entities over a network
    Patent number: 11258807
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: February 22, 2022
    Assignee: SPLUNK INC.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Joseph Auguste Zadeh, Alexander Beebe Bond, Ashwin Athalye
  • ANOMALY DETECTION BASED ON COMMUNICATION BETWEEN ENTITIES OVER A NETWORK
    Publication number: 20190327251
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: July 3, 2019
    Publication date: October 24, 2019
    Inventors: Sudhakar Muddu, Christos Tryfonas, Joseph Auguste Zadeh, Alexander Beebe Bond, Ashwin Athalye
  • Malware communications detection
    Patent number: 10389738
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: August 20, 2019
    Assignee: SPLUNK INC.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Joseph Auguste Zadeh, Alexander Beebe Bond, Ashwin Athalye
  • MALWARE COMMUNICATIONS DETECTION
    Publication number: 20170063888
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Joseph Auguste Zadeh, Alexander Beebe Bond, Ashwin Athalye