Jump to content

QOMPLX LLC (20250133121). MACHINE LEARNING SYSTEM AND METHOD FOR NETWORK SECURITY IMPROVEMENT

From WikiPatents

MACHINE LEARNING SYSTEM AND METHOD FOR NETWORK SECURITY IMPROVEMENT

Organization Name

QOMPLX LLC

Inventor(s)

Jason Crabtree of Vienna VA US

Andrew Sellers of Monument CO US

MACHINE LEARNING SYSTEM AND METHOD FOR NETWORK SECURITY IMPROVEMENT

This abstract first appeared for US patent application 20250133121 titled 'MACHINE LEARNING SYSTEM AND METHOD FOR NETWORK SECURITY IMPROVEMENT

Original Abstract Submitted

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.

(Ad) Transform your business with AI in minutes, not months

Custom AI strategy tailored to your specific industry needs
Step-by-step implementation with measurable ROI
5-minute setup that requires zero technical skills
Get your AI playbook

Trusted by 1,000+ companies worldwide

Cookies help us deliver our services. By using our services, you agree to our use of cookies.