US Patent 11792229 AI-driven defensive cybersecurity strategy analysis and recommendation system
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US Patent 11792229 AI-driven defensive cybersecurity strategy analysis and recommendation system
Article
Patent abstract
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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Patent Number
Patent Inventor Names
Andrew Sellers
Jason Crabtree
Date of Patent
October 17, 2023
Patent Application Number
17389863
Date Filed
July 30, 2021
Patent Citations
Patent Primary Examiner
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