The Impact of Cloud Security on Financial Services: A Study of Fraud Detection, Transaction Privacy, and Regulatory Challenges in Cloud-Based FinTech Applications

Abstract

This study investigates the multifaceted impact of cloud security on financial services, with a focus on fraud detection, transaction privacy, and regulatory challenges in cloud-based FinTech applications. Employing a mixed-methods approach, the research analyses real-world and synthetic datasets from 2018 to 2021, utilizing machine learning algorithms such as random forests and neural networks for quantitative assessment, complemented by qualitative review of regulatory frameworks. Key findings reveal that robust cloud security measures, including encryption and anomaly detection, reduced fraud incidents by up to 35% in simulated environments, while privacy breaches declined by 28% post-implementation. However, regulatory fragmentation across jurisdictions poses persistent challenges, with 62% of institutions reporting compliance gaps. The study concludes that integrating AI-driven security with adaptive regulatory strategies enhances FinTech resilience, offering theoretical contributions to cybersecurity models and practical recommendations for policymakers and practitioners to mitigate risks in an evolving digital landscape.