Smart Cloud Architectures for Real-Time Financial Transaction Monitoring

This study explores the development and implementation of smart cloud architectures tailored for real-time monitoring of financial transactions. Emphasizing scalability, security, and real-time data processing, this paper investigates innovative approaches that leverage cloud-based solutions to ensure efficient detection and mitigation of financial anomalies. This architecture integrates machine learning, big data analytics, and edge computing to deliver a robust system for monitoring transactions across various banking and financial platforms. Key findings include performance improvements, reduced latency, and enhanced detection accuracy, highlighting the transformative role of cloud solutions in modern finance.