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:
Jul. 09, 2024

Filed:

Jul. 17, 2023
Applicant:

Open Text Inc., Menlow Park, CA (US);

Inventors:

Eric Klonowski, Broomfield, CO (US);

Fred Krenson, Denver, CO (US);

Assignee:

OPEN TEXT INC., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/55 (2013.01); G06F 9/455 (2018.01); G06F 21/56 (2013.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 9/45558 (2013.01); G06F 2009/45562 (2013.01); G06F 21/56 (2013.01); G06F 2221/033 (2013.01); G06F 2221/034 (2013.01);
Abstract

Examples of the present disclosure describe systems and methods for a behavioral threat detection engine. In examples, the behavioral threat detection engine manages execution of one or more virtual machines, wherein each virtual machine processes a rule in relation to a context. The behavioral threat detection engine uses any of a variety of techniques to identify when events occur. Accordingly, the behavioral threat detection engine provides event indications, in the form of event packets, to one or more virtual machines, such that corresponding rules are able to process the events accordingly. Eventually, a rule may make a determination as to the presence or absence of a behavior. As a result, execution of the associated virtual machine may be halted, thereby indicating to the behavioral threat detection engine that a determination has been made. Thus a behavioral threat detection engine employs a behavior-based approach to detecting malicious or potentially malicious behaviors.


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