How does AI analyze threat patterns in smart city infrastructure to improve resilience against attacks?
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How does AI analyze threat patterns in smart city infrastructure to improve resilience against attacks?
AI analyzes threat patterns in smart city infrastructure by employing various techniques such as machine learning, anomaly detection, and predictive analytics. It utilizes vast amounts of data from sensors, cameras, and other sources to detect abnormal behaviors or patterns that may indicate a potential security threat. By continuously monitoring and analyzing data in real-time, AI can identify vulnerabilities, predict potential attacks, and suggest proactive measures to improve the resilience of smart city infrastructure against cyber threats.