Patents by Inventor Tali Finelt

Tali Finelt 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).

  • Detecting malware attacks using extracted behavioral features
    Patent number: 11057407
    Abstract: Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data using a machine learning technique, wherein the private data includes private enterprise attack findings. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: July 6, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Shlomit Avrahami, Tali Finelt, Itai Gordon, Yakir Keisar, Ilan Prager, Alexander Pyasik, Oded Sofer, Or Bar-Yaacov, Yifat Yulevich
  • DETECTING MALWARE ATTACKS USING EXTRACTED BEHAVIORAL FEATURES
    Publication number: 20200092311
    Abstract: Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data using a machine learning technique, wherein the private data includes private enterprise attack findings. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Inventors: Shlomit Avrahami, Tali Finelt, ITAI GORDON, Yakir Keisar, Ilan Prager, Alexander Pyasik, ODED SOFER, Or Bar-Yaacov, Yifat Yulevich
  • Detecting malware attacks using extracted behavioral features
    Patent number: 10530787
    Abstract: Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: January 7, 2020
    Assignee: International Business Machines Corporation
    Inventors: Shlomit Avrahami, Tali Finelt, Itai Gordon, Yakir Keisar, Ilan Prager, Alexander Pyasik, Oded Sofer, Or Bar-Yaacov, Yifat Yulevich
  • DETECTING MALWARE ATTACKS USING EXTRACTED BEHAVIORAL FEATURES
    Publication number: 20190068620
    Abstract: Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
    Type: Application
    Filed: August 30, 2017
    Publication date: February 28, 2019
    Inventors: Shlomit Avrahami, Tali Finelt, ITAI GORDON, Yakir Keisar, Ilan Prager, Alexander Pyasik, ODED SOFER, Or Bar-Yaacov, Yifat Yulevich