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:
Nov. 14, 2023

Filed:

Jan. 04, 2022
Applicant:

Intellective Ai, Inc., Dallas, TX (US);

Inventors:

Wesley Kenneth Cobb, The Woodlands, TX (US);

Ming-Jung Seow, The Woodlands, TX (US);

Curtis Edward Cole, Jr., Spring, TX (US);

Cody Shay Falcon, Katy, TX (US);

Benjamin A. Konosky, Friendswood, TX (US);

Charles Richard Morgan, Katy, TX (US);

Aaron Poffenberger, Houston, TX (US);

Thong Toan Nguyen, Richmond, TX (US);

Assignee:

Intellective Ai, Inc., Dallas, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/40 (2020.01); G06F 40/247 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); H04L 63/1408 (2013.01); G06F 40/247 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01);
Abstract

Embodiments presented herein describe a method for processing streams of data of one or more networked computer systems. According to one embodiment of the present disclosure, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network is received. A neuro-linguistic model of the information security data is generated by clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words.


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