As cities increasingly adopt artificial intelligence, connected infrastructure, and data-driven public services, securing the digital platforms that support these systems is becoming essential. Integrating AI applications, cloud services, IoT devices, and diverse data sources introduces challenges involving cybersecurity, privacy, interoperability, reliability, and responsible AI governance.

This presentation explores practical architectural principles for designing secure, resilient, and trustworthy AI-driven smart city platforms. It examines security-by-design, identity and access management, data protection, AI risk assessment, system interoperability, and governance across the AI lifecycle. It also considers how enterprise architecture practices can help technology teams balance intelligent automation, operational reliability, privacy, and security in complex digital environments.

Designed for technology professionals, engineers, and technical decision-makers, the session will provide actionable considerations for evaluating architectural risks and integrating security controls into AI-enabled systems. The discussion connects enterprise AI and cybersecurity principles with the needs of smart-city infrastructure and digital public services, emphasizing responsible deployment, resilience, and public trust.