Approaches to Choosing the Architecture of an Organization's Cyber Security System Based on Machine Learning

With the development of technologies and the growth of information volume, the number of new threats is increasing. It is crucial to counteract these threats in a timely manner using modern methods of information protection. Approaches to choosing the architecture of an organization's cybersecurity system based on an intelligent forecasting algorithm have been considered. An evaluation has been conducted on the use of machine learning technology in ensuring the information security of an airline, and the optimal machine learning algorithm has been selected, with a preliminary choice of optimal hyperparameters for each. The proposed architecture for the information protection subsystem is based on an intelligent algorithm for predicting cyber-attacks.