How does AI assess risks associated with smart city deployments, including IoT and connected infrastructure?
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How does AI assess risks associated with smart city deployments, including IoT and connected infrastructure?
AI can assess risks associated with smart city deployments, IoT, and connected infrastructure by analyzing vast amounts of data collected from sensors, devices, and systems. Machine learning algorithms can identify patterns, anomalies, and potential security threats in real-time, enabling proactive risk mitigation strategies. AI can also model various scenarios to predict potential risks and their impacts on the smart city infrastructure. Additionally, AI-driven systems can continuously learn and adapt to new risks, making them adept at identifying evolving threats and vulnerabilities.