Designing scalable enterprise data platforms to ensure security and regulatory compliance in payments and financial systems

Kushwah, Lokendra Singh (2025) Designing scalable enterprise data platforms to ensure security and regulatory compliance in payments and financial systems. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1308-1317. ISSN 2582-8266

The rapid evolution of financial technology has necessitated sophisticated enterprise data platforms capable of handling massive transaction volumes while ensuring security and regulatory compliance. These platforms integrate advanced microservices architectures, distributed processing systems, and multi-tiered storage solutions to meet the demanding requirements of modern financial operations. Implementing comprehensive security frameworks, including encryption protocols, access control mechanisms, and real-time threat detection systems, safeguards critical financial data across global deployments. By adopting cloud-native technologies and containerized infrastructures, financial institutions have achieved remarkable improvements in operational efficiency, system reliability, and cost optimization. The integration of artificial intelligence and machine learning enhances anomaly detection, predictive scaling, and automated incident response capabilities. By leveraging advanced observability practices and implementing robust disaster recovery strategies, these platforms maintain continuous operations while meeting stringent regulatory requirements across multiple jurisdictions.