The integration of artificial intelligence in cybersecurity measures for sustainable finance platforms: An analysis

Abstract

This study delves into the integration of Artificial Intelligence (AI) in cybersecurity measures within smart cities, aiming to uncover both the challenges and opportunities this fusion presents. With the burgeoning reliance on interconnected digital infrastructures and the vast data ecosystems within urban environments, smart cities are increasingly susceptible to sophisticated cyber threats. Through a systematic literature review and content analysis, this research identifies the unique cybersecurity vulnerabilities faced by smart cities and evaluates how AI technologies can fortify urban cybersecurity frameworks. The methodology encompasses a comprehensive review of recent scholarly articles, industry reports, and case studies to assess the role of AI in enhancing threat detection, response, and prevention mechanisms. Key findings reveal that AI-driven cybersecurity solutions significantly enhance the resilience of smart cities against cyber threats by providing advanced analytical capabilities and real-time threat intelligence. However, the study also highlights the critical need for robust ethical and privacy considerations in the deployment of AI technologies. Strategic recommendations are provided for policymakers, urban planners, and technology leaders, emphasizing the importance of integrating secure AI-enabled infrastructure and fostering public-private partnerships. The study concludes with suggestions for future research directions, focusing on the ethical implications of AI in cybersecurity and the development of scalable AI solutions for diverse urban contexts. Keywords: Artificial Intelligence, Cybersecurity, Smart Cities, Urban Resilience.