Patents by Inventor Ofir TALMOR

Ofir TALMOR 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).

  • Clustering-based data object classification
    Patent number: 12461995
    Abstract: Techniques for data classification using clustering. A method includes replacing a plurality of portions of metadata for a plurality of data objects with a plurality of replacement characters in order to generate a plurality of replaced strings; clustering the plurality of data objects into a plurality of clusters based on commonalities between the plurality of replaced strings of data objects of the plurality of data objects; classifying a subset of the data objects in each cluster into at least one class; and aggregating classes within at least one cluster of the plurality of clusters, wherein aggregating classes within each of the at least one cluster includes applying the at least one class for the subset of the data objects in each cluster to each other data object within the cluster.
    Type: Grant
    Filed: October 29, 2024
    Date of Patent: November 4, 2025
    Assignee: Cyera, Ltd.
    Inventors: Yotam Segev, Itamar Bar-Ilan, Yonatan Itai, Shiran Bareli, Guye Vered, Tomer Mesika, Itay Fainshtein, Ofir Talmor
  • CLUSTERING-BASED DATA OBJECT CLASSIFICATION
    Publication number: 20250068701
    Abstract: Techniques for data classification using clustering. A method includes replacing a plurality of portions of metadata for a plurality of data objects with a plurality of replacement characters in order to generate a plurality of replaced strings; clustering the plurality of data objects into a plurality of clusters based on commonalities between the plurality of replaced strings of data objects of the plurality of data objects; classifying a subset of the data objects in each cluster into at least one class; and aggregating classes within at least one cluster of the plurality of clusters, wherein aggregating classes within each of the at least one cluster includes applying the at least one class for the subset of the data objects in each cluster to each other data object within the cluster.
    Type: Application
    Filed: October 29, 2024
    Publication date: February 27, 2025
    Applicant: Cyera, Ltd.
    Inventors: Yotam SEGEV, Itamar BAR-ILAN, Yonatan ITAI, Shiran BARELI, Guye VERED, Tomer MESIKA, Itay FAINSHTEIN, Ofir TALMOR
  • Clustering-based data object classification
    Patent number: 12210594
    Abstract: Techniques for data classification using clustering. A method includes replacing a plurality of portions of metadata for a plurality of data objects with a plurality of replacement characters in order to generate a plurality of replaced strings; clustering the plurality of data objects into a plurality of clusters based on commonalities between the plurality of replaced strings of data objects of the plurality of data objects; classifying a subset of the data objects in each cluster into at least one class; and aggregating classes within at least one cluster of the plurality of clusters, wherein aggregating classes within each of the at least one cluster includes applying the at least one class for the subset of the data objects in each cluster to each other data object within the cluster.
    Type: Grant
    Filed: April 27, 2023
    Date of Patent: January 28, 2025
    Assignee: Cyera, Ltd.
    Inventors: Yotam Segev, Itamar Bar-Ilan, Yonatan Itai, Shiran Bareli, Guye Vered, Tomer Mesika, Itay Fainshtein, Ofir Talmor
  • CLUSTERING-BASED DATA OBJECT CLASSIFICATION
    Publication number: 20240362301
    Abstract: Techniques for data classification using clustering. A method includes replacing a plurality of portions of metadata for a plurality of data objects with a plurality of replacement characters in order to generate a plurality of replaced strings; clustering the plurality of data objects into a plurality of clusters based on commonalities between the plurality of replaced strings of data objects of the plurality of data objects; classifying a subset of the data objects in each cluster into at least one class; and aggregating classes within at least one cluster of the plurality of clusters, wherein aggregating classes within each of the at least one cluster includes applying the at least one class for the subset of the data objects in each cluster to each other data object within the cluster.
    Type: Application
    Filed: April 27, 2023
    Publication date: October 31, 2024
    Applicant: Cyera, Ltd.
    Inventors: Yotam SEGEV, Itamar BAR-ILAN, Yonatan ITAI, Shiran BARELI, Guye KARNI, Tomer MESIKA, Itay FAINSHTEIN, Ofir TALMOR