Enhancing Information System Security in Artificial Intelligence-Powered Governments: The Mediating Role of Geographic Information System-Based Data Visualization and Analytics

Abstract

This paper seeks to research how data visualization and analytics through Geographic Information Systems (GIS) can help improve the security of information systems in AI driven governments. The Scopus database was used to retrieve peer-reviewed articles published between 2021 and 2025 to use them as sources of data in a narrative review methodology. The analytical process entailed an integrative thematic analysis in a bid to synthesize the important themes, concepts and theoretical insights. Results indicate that GIS-based visualization is an intermediate between AI-driven analytics and information system security to allow real-time threat detection, predictive modeling, and data-driven decision-making. The ethical questions, including the privacy of the information, the bias of the algorithm, and the responsibility, will also need to be addressed to maintain trust within society. The study contributes to the theoretical understanding of AI-based governance with the proposal of a conceptual framework that integrates GIS, AI, and cybersecurity solutions. Practically, it provides practical solutions that policymakers can apply to locate safe AI-based GIS systems within government procedures. The study acknowledges shortcomings, such as the risk of biases in the selection of the literature and empirical validation of the proposed framework. The gaps have been identified in the current research should be addressed in future studies through conducting case studies and examining the long-term consequences of integrated GIS-AI systems to society. On the whole, this research highlights the radical possibilities of GIS-based data visualization and analytics to increase the security of information systems and promote the ethical and effective use of AI-based governance.