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:
Oct. 15, 2024

Filed:

May. 06, 2021
Applicant:

Noetic Cyber Inc., Waltham, MA (US);

Inventors:

Kenneth Allen Rogers, Stow, MA (US);

Allen D. Hadden, Stow, MA (US);

Craig Roberts, London, GB;

Hugh Pyle, Salem, MA (US);

Assignee:

Noetic Cyber Inc., Waltham, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 16/245 (2019.01); G06F 16/248 (2019.01); G06F 16/25 (2019.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06F 18/214 (2023.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 16/245 (2019.01); G06F 16/248 (2019.01); G06F 16/252 (2019.01); G06F 16/288 (2019.01); G06F 16/9024 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); H04L 63/0263 (2013.01); H04L 63/1416 (2013.01); H04L 63/1433 (2013.01); H04L 63/20 (2013.01);
Abstract

An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.


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