The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 30, 2024

Filed:

Oct. 13, 2020
Applicant:

Kyndryl, Inc., New York, NY (US);

Inventors:

Arjun Udupi Raghavendra, Zurich, CH;

Tim Uwe Scheideler, Schoenenberg, CH;

Matthias Seul, Pleasant Hill, CA (US);

Andrea Giovannini, Zurich, CH;

Assignee:

KYNDRYL, INC, New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06F 21/57 (2013.01); G06F 21/53 (2013.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06F 18/217 (2023.01); G06F 21/53 (2013.01); G06F 21/577 (2013.01); G06N 3/045 (2023.01); G06F 2221/033 (2013.01);
Abstract

Aspects of the present invention disclose a method, computer program product, and system for detecting a malicious process by a selected instance of an anti-malware system. The method includes one or more processors examining a process for indicators of compromise to the process. The method further includes one or more processors determining a categorization of the process based upon a result of the examination. In response to determining that the categorization of the process does not correspond to a known benevolent process and a known malicious process, the method further includes one or more processors executing the process in a secure enclave. The method further includes one or more processors collecting telemetry data from executing the process in the secure enclave. The method further includes one or more processors passing the collected telemetry data to a locally trained neural network system.


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