Abstract

The record speed of artificial intelligence (AI) incorporation into global information governance is both a revolutionary opportunity and an unprecedented security challenge. This study explores how AI can revolutionize data protection, compliance measures, and regulatory systems to combat the emerging threats. Through the utilization of sophisticated analytical tools such as Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Structural Equation Modeling (SEM), and Multi-Criteria Decision Analysis (MCDA), this study examines AI- facilitated vulnerabilities' dynamics, governance adaptability, and regulatory effectiveness in reference to governance. Empirical information gathered through the MITRE ATT&CK Framework, AI Incident Database, Global Cybersecurity Index (GCI), and National Vulnerability Database (NVD) offers substantial insight into security dynamics. Findings show that AI-related cyber security incidents are disproportionately affecting regulatory stability, with compliance and governance inefficiencies causing misalignment to complicate risk exposure. PCA reveals governance flexibility (48.1% variance) and AI risk classification (33.7% variance) as the most significant drivers of determining security resilience. SEM findings show that policy enforcement is a critical determinant in raising cyber security postures (coefficient = 0.74, p < 0.001), while MCDA emphasizes the requirement for flexible regulatory systems that can adapt to AI innovations. The research promotes the use of AI-based threat detection, advanced regulatory harmonization, and cautious cross-sector coordination to improve global security. These proposals constitute a strategic roadmap for policymakers, industry players, and researchers as they try to reconcile AI innovation with ethical and regulatory concerns in the wake of an increasingly dynamic digital environment