Secure Cloud Migration and AI-Driven Fraud Detection for BFSI and Hospitality

The rapid growth of digital financial services and hospitality on cloud solutions underpin mass adoption. At the same time, this increasing sophistication of fraud calls for more advanced AI-driven detection. In this article, we compare and contrast the secure cloud migration of BFSI sector with hospitality sectors from the union perspective and artificial intelligence based fraud detection. It utilizes recent academic paper and case studies to provide architectural patterns, real-world benchmarking result and operational value from using machine learning, NLP, federated learning in high-risk, compliance-bound environment. It concludes by examining lasting challenges and proposing future research for the AI ethics, real-time threat mitigation and scalable cloud governance.

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