Patents by Inventor Shai Meir

Shai Meir 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: 20240129327
    Abstract: Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
    Type: Application
    Filed: December 26, 2023
    Publication date: April 18, 2024
    Inventors: Shai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
  • Patent number: 11888881
    Abstract: Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
    Type: Grant
    Filed: September 12, 2022
    Date of Patent: January 30, 2024
    Assignee: Palo Alto Networks, Inc.
    Inventors: Shai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
  • Publication number: 20230007037
    Abstract: Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
    Type: Application
    Filed: September 12, 2022
    Publication date: January 5, 2023
    Inventors: Shai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
  • Patent number: 11483326
    Abstract: Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: October 25, 2022
    Assignee: Palo Alto Networks, Inc.
    Inventors: Shai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
  • Publication number: 20210067531
    Abstract: Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 4, 2021
    Inventors: Shai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
  • Patent number: 8142709
    Abstract: The invention provides a rapid and economical process for manufacturing a transparent, spinel based ceramic. A transparent body of sintered magnesium aluminate spinel having excellent optical and mechanical properties is provided in a single-stage thermal process.
    Type: Grant
    Filed: May 27, 2009
    Date of Patent: March 27, 2012
    Assignee: Ben-Gurion University of the Negev Research & Development Authority
    Inventors: Nahum Frage, Moshe Dariel, Shai Meir, Sergei Kalabuchov
  • Publication number: 20090297851
    Abstract: The invention provides a rapid and economical process for manufacturing a transparent, spinel based ceramic. A transparent body of sintered magnesium aluminate spinel having excellent optical and mechanical properties is provided in a single-stage thermal process.
    Type: Application
    Filed: May 27, 2009
    Publication date: December 3, 2009
    Applicant: Ben-Gurion University of the Negev Research and Development Authority
    Inventors: Nahum Frage, Moshe Dariel, Shai Meir, Sergei Kalabuchov