US 12,461,995 B2
Clustering-based data object classification
Yotam Segev, New York, NY (US); Itamar Bar-Ilan, New York, NY (US); Yonatan Itai, Tel Aviv (IL); Shiran Bareli, Tel Aviv (IL); Guye Vered, Rishon Letzion (IL); Tomer Mesika, Tel Aviv (IL); Itay Fainshtein, Tel Aviv (IL); and Ofir Talmor, Tel Aviv (IL)
Assigned to Cyera, Ltd., Tel Aviv (IL)
Filed by Cyera, Ltd., Tel Aviv (IL)
Filed on Oct. 29, 2024, as Appl. No. 18/930,059.
Application 18/930,059 is a continuation of application No. 18/308,204, filed on Apr. 27, 2023, granted, now 12,210,594.
Prior Publication US 2025/0068701 A1, Feb. 27, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 18/2415 (2023.01)
CPC G06F 18/2415 (2023.01) 23 Claims
OG exemplary drawing
 
1. A method for data classification using clustering, comprising:
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 such that data objects among the plurality of data objects having the same replaced strings among the plurality of replaced strings are grouped into the same clusters among the plurality of clusters;
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.