How does AI address operational risks in OT-managed smart cities?

AI can help address operational risks in OT-managed smart cities by analyzing vast amounts of data in real-time to identify anomalies or potential security breaches. Machine learning algorithms can detect unusual patterns that may indicate a security threat or operational risk, allowing for a proactive response before an incident occurs. Additionally, AI can automate various security measures, such as monitoring and controlling access to critical infrastructure, detecting and responding to cyber threats, and optimizing resource allocation to enhance overall security and continuity in smart city operations.