AI-Driven Cloud and LLM Architectures for Risk-Sensitive Banking Analytics and Secure Web Applications in 5G Environments
DOI:
https://doi.org/10.15680/IJMRSETM.2025.0106002Keywords:
AI-driven cloud architecture, Large Language Models, Risk-sensitive banking analytics, Secure web applications, Privacy-preserving finance, Generative AI, ETL pipelines, Cybersecurity, Real-time analytics, 5G networksAbstract
The rapid digitization of banking services and trade platforms has created unprecedented opportunities for efficiency and accessibility, while simultaneously introducing complex financial, operational, and cybersecurity risks. Traditional fraud detection systems and risk management methods are increasingly inadequate in processing high-volume, high-velocity, and multi-modal data streams, particularly in real-time 5G-enabled environments. This study proposes an AI-driven cloud and Large Language Model (LLM) architecture for risk-sensitive banking analytics and secure web applications. The framework integrates predictive AI for anomaly detection, generative AI for simulating complex risk scenarios, and LLMs for analyzing unstructured data, generating interpretable insights, and supporting compliance efforts. Secure Extract–Transform–Load (ETL) pipelines standardize and anonymize data prior to analysis, while cloud-native deployment ensures scalability, fault tolerance, and low-latency performance. Privacy-preserving mechanisms, including differential privacy and secure multi-party computation, protect sensitive financial and transactional data. Experimental evaluations using real and simulated banking datasets indicate detection accuracy exceeding 95%, significant reductions in false positives, enhanced operational efficiency, and improved interpretability for human analysts. This work provides a comprehensive blueprint for deploying adaptive, secure, and intelligent financial analytics systems capable of operating efficiently in 5G networks, combining risk-sensitive decision-making with privacy-preserving mechanisms for modern banking and trade operations.
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