QUANTITATIVE UNIFIED ANALYTIC NEURAL NETWORKS

Patent №

US 10,691,795

Granted

2020-06-23

Filed 2017

Owner

CERTIS CISCO SECURITY PTE LTD

+1 more

Lab

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15741172

This document describes a system and method for quantitatively unifying and assimilating all unstructured, unlabelled and/or fragmented real-time and non-real-time cyber threat data generated by a plurality of sources. These sources may include cyber-security surveillance systems that are equipped with machine learning capabilities.

Machine learningVisionKnowledge representationPlanningAI hardwareG06F 21/316G06F 17/18G06F 18/214G06F 18/23213G06F 18/24G06F 21/55G06F 21/554G06F 21/56+7 more

AI classification

Machine learning1.00
Vision1.00
Planning1.00
AI hardware1.00
Knowledge representation0.54
Speech0.18
Natural language0.08
Evolutionary computation0.00

Ownership

CERTIS CISCO SECURITY PTE LTD

assignment · 446300937

ENSIGN INFOSECURITY (CYBERSECURITY) PTE. LTD.

assignment · 478050336

From the same owner

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