How does AI monitor network vulnerabilities in high-speed rail systems?

AI can monitor network vulnerabilities in high-speed rail systems by continuously analyzing and processing vast amounts of data from the systems. It can identify patterns, anomalies, and potential threats in real-time, allowing for proactive measures to be taken to prevent disruptions. AI-based systems can also use predictive modeling and machine learning algorithms to anticipate potential vulnerabilities and suggest strategies to mitigate them. Additionally, AI can automate the monitoring process, enabling rapid response to any identified vulnerabilities to maintain the integrity and security of high-speed rail systems.