Leveraging Enterprise Architecture for Enhanced Risk Governance in Financial Institutions: Data Integration, Compliance, and Fraud Detection

This abstract examines the strategic implementation of enterprise architecture as a foundational framework for enhancing risk management capabilities within financial service institutions. The article investigates how architectural approaches facilitate three critical dimensions of financial risk management: enhanced data integration across organizational silos, improved compliance monitoring systems, and advanced AI-driven fraud detection mechanisms. Through analysis of existing implementation models and emerging best practices, the study presents a comprehensive framework for financial institutions seeking to strengthen their risk management posture. The findings suggest that enterprise architecture provides the necessary structural foundation for integrating disparate risk management functions, enabling a more holistic and proactive approach to identifying, assessing, and mitigating financial risks. This article contributes to the growing body of knowledge on the intersection between enterprise architecture and financial risk management, offering practical insights for institutions navigating increasingly complex regulatory environments while managing evolving technological and operational risks.