Intelligent Cloud Banking Framework Using SVM and BMS for Ethical Cyber Compliance and Real-Time Risk Forensics
DOI:
https://doi.org/10.15662/IJARCST.2025.0805019Keywords:
AI-Driven Cloud Banking, Support Vector Machine (SVM), Real-Time Risk Monitoring, Ethical Cyber Compliance, Data Forensics, Building Management Systems (BMS), Predictive Analytics, Fraud Detection, Secure Financial EcosystemAbstract
This paper proposes an AI-Driven Cloud Banking Framework designed to enable real-time risk monitoring, ethical cyber compliance, and data forensics using Building Management Systems (BMS) integration. The framework leverages artificial intelligence (AI) and cloud computing to deliver predictive analytics, automated anomaly detection, and adaptive cyber risk assessment across digital banking ecosystems. By incorporating BMS and real-time data orchestration, the system ensures secure, energy-efficient, and resilient operations within banking infrastructure. Ethical AI governance is embedded to promote transparency, data privacy, and responsible automation in compliance workflows. The proposed architecture enhances financial integrity, cybersecurity posture, and operational efficiency while fostering trust and accountability in modern smart banking systems.
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