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