Secure AI-Cloud Architecture for Building Management Systems: Integrating SVM Analytics, SAP, and Network Firewalls

Thomas Paul Richardson

doi:10.15662/IJRAI.2025.0805005

Authors

Thomas Paul Richardson Cloud AI Specialist, Amsterdam, Netherlands Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0805005

Keywords:

AI-Cloud Architecture, Building Management Systems (BMS), Support Vector Machine (SVM), SAP Data Intelligence, Network Firewalls, Predictive Maintenance, Smart Infrastructure, Data Security

Abstract

This paper presents a Secure AI-Cloud Architecture for Building Management Systems (BMS) that integrates Support Vector Machine (SVM) analytics, SAP-driven data intelligence, and advanced network firewall mechanisms to ensure intelligent, secure, and efficient facility management. The proposed framework leverages Artificial Intelligence (AI) and cloud computing to enable real-time monitoring, predictive maintenance, and adaptive control across distributed building infrastructures. SVM-based analytics provide anomaly detection, energy optimization, and predictive insights for operational efficiency, while SAP integration facilitates workflow automation, data transparency, and enterprise-level management. Network firewalls are incorporated to enforce security policies, safeguard sensitive operational data, and maintain compliance with industry standards. The architecture ensures seamless interoperability between IoT-enabled devices, cloud services, and enterprise systems, fostering a resilient, scalable, and secure smart building ecosystem that leverages data-driven intelligence for proactive decision-making.

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