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:
Sep. 02, 2025

Filed:

May. 16, 2022
Applicant:

Darktrace Holdings Limited, Cambridge, GB;

Inventors:

Timothy Bazalgette, Knebworth, GB;

Dickon Humphrey, Cambridge, GB;

Carl Salji, Bedford, GB;

Jack Stockdale, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/00 (2022.01); G06F 3/04842 (2022.01); G06F 3/0486 (2013.01); G06F 16/2455 (2019.01); G06F 18/23 (2023.01); G06F 18/232 (2023.01); G06F 21/36 (2013.01); G06F 21/55 (2013.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06V 30/10 (2022.01); H04L 9/40 (2022.01); H04L 41/22 (2022.01); H04L 43/045 (2022.01); H04L 51/212 (2022.01); H04L 51/224 (2022.01); H04L 51/42 (2022.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1441 (2013.01); G06F 3/04842 (2013.01); G06F 3/0486 (2013.01); G06F 16/2455 (2019.01); G06F 18/23 (2023.01); G06F 18/232 (2023.01); G06F 21/36 (2013.01); G06F 21/554 (2013.01); G06F 21/556 (2013.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06V 30/10 (2022.01); H04L 41/22 (2013.01); H04L 43/045 (2013.01); H04L 51/212 (2022.05); H04L 51/224 (2022.05); H04L 51/42 (2022.05); H04L 63/0209 (2013.01); H04L 63/0428 (2013.01); H04L 63/101 (2013.01); H04L 63/14 (2013.01); H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01); H04L 63/1483 (2013.01); H04L 63/20 (2013.01); G06N 20/20 (2019.01);
Abstract

An analyzer module forms a hypothesis on what are a possible set of cyber threats that could include the identified abnormal behavior and/or suspicious activity with AI models trained with machine learning on possible cyber threats. The Analyzer analyzes a collection of system data, including metric data, to support or refute each of the possible cyber threat hypotheses that could include the identified abnormal behavior and/or suspicious activity data with the AI models. A formatting and ranking module outputs supported possible cyber threat hypotheses into a formalized report that is presented in 1) printable report, 2) presented digitally on a user interface, or 3) both.


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