AI-DRIVEN DEFENSIVE CYBERSECURITY STRATEGY ANALYSIS AND RECOMMENDATION SYSTEM

Patent №

US 11,792,229

Granted

2023-10-17

Filed 2021

Owner

QOMPLX, INC.

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17389863

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost/benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost/benefit indicators.

Machine learningPlanningAI hardwareH04L 63/20G06F 16/2477G06F 16/9024G06F 16/951H04L 63/1425H04L 63/1441

AI classification

Planning1.00
Machine learning1.00
AI hardware0.87
Knowledge representation0.37
Evolutionary computation0.29
Natural language0.00
Vision0.00
Speech0.00

Ownership

QOMPLX, INC.

assignment · 599520852

Assignors

CRABTREE, JASON, SELLERS, ANDREW

On an employer assignment, the assignors are typically the inventors.

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