SCALABLE CLOUD-NATIVE GOVERNANCE SYSTEMS FOR FINANCIAL COMPLIANCE AND RISK MANAGEMENT
DOI:
https://doi.org/10.46121/pspc.53.2.27Keywords:
Cloud Computing, Financial Compliance, Risk Management, Microservices, Regulatory Technology, Financial Governance, Cloud-Native Architecture, Scalability).Abstract
Financial institutions face unprecedented regulatory complexity as compliance requirements multiply across jurisdictions while transaction volumes and data generation rates continue accelerating. Traditional on-premise governance systems struggle to scale with these demands, creating compliance gaps and operational inefficiencies. This research examines cloud-native architectures for financial governance systems that leverage distributed computing, containerization, and microservices to achieve the scalability, resilience, and agility regulatory environments require. We investigate how cloud-native design principles—including elastic scaling, fault tolerance, and infrastructure-as-code—address specific challenges in compliance monitoring, risk assessment, and regulatory reporting. Through architectural analysis and performance evaluation, we demonstrate that properly designed cloud-native governance platforms can process compliance workloads 10-15 times faster than legacy systems while reducing infrastructure costs by 40-60%. The research develops a reference architecture for cloud-native financial governance incorporating real-time transaction monitoring, automated compliance checking, risk analytics, and audit trail management. Key findings indicate that containerized microservices enable granular scaling of specific compliance functions during peak loads, while cloud-native data architectures support the low-latency analytics essential for contemporary risk management. However, the study also identifies significant challenges including data sovereignty constraints, security vulnerabilities in distributed systems, and organizational resistance to cloud adoption for sensitive financial functions. This work contributes both to financial technology literature on compliance automation and to cloud computing research on industry-specific architectural patterns, providing practical guidance for institutions navigating digital transformation of governance functions.

