Abstract: To analyze cybersecurity threats, an analysis module of a processor may receive log data from at least one network node. The analysis module may identify at least one statistical outlier within the log data. The analysis module may determine that the at least one statistical outlier represents a cybersecurity threat by applying at least one machine learning algorithm to the at least one statistical outlier.
Type:
Application
Filed:
April 29, 2020
Publication date:
August 13, 2020
Applicant:
CYBRAICS, INC.
Inventors:
Richard Edwin HEIMANN, Jonathan Lee TICKNOR, Amanda Lynn TRAUD, Marshall Thomas VANDEGRIFT, Kaska ADOTEYE, Jesse Pruitt JETER, Michael Toru CZERNY
Abstract: To analyze cybersecurity threats, an analysis module of a processor may receive log data from at least one network node. The analysis module may identify at least one statistical outlier within the log data. The analysis module may determine that the at least one statistical outlier represents a cybersecurity threat by applying at least one machine learning algorithm to the at least one statistical outlier.
Type:
Grant
Filed:
January 20, 2017
Date of Patent:
June 16, 2020
Assignee:
CYBRAICS, INC.
Inventors:
Richard Edwin Heimann, Jonathan Lee Ticknor, Amanda Lynn Traud, Marshall Thomas Vandergrift, Kaska Adoteye, Jesse Pruitt Jeter, Michael Toru Czerny