A Secure and Ethical AI Cloud Framework for SAP-Centric Enterprise Automation Integrating Mobile Broadband Networks and Dynamic Data Warehousing
DOI:
https://doi.org/10.15662/IJEETR.2025.0706027Keywords:
Artificial Intelligence, Cloud-Native Architecture, Ethical Automation, Secure Mobile Platforms, Broadband Networks, Decision Intelligence, Compliance, Enterprise SystemsAbstract
The rapid convergence of artificial intelligence, cloud computing, mobile platforms, and broadband networks has transformed modern enterprises, yet it has also introduced significant challenges related to security, ethics, scalability, and regulatory compliance. This paper proposes a unified AI-driven and cloud-native enterprise architecture that integrates ethical automation, secure mobile platforms, high-performance broadband networks, and compliance-aware decision intelligence into a cohesive framework. The proposed architecture leverages cloud-native principles such as microservices, containerization, and orchestration, combined with AI-based analytics and decision intelligence to enable adaptive, scalable, and trustworthy enterprise systems. Ethical automation is embedded through transparent AI models, governance mechanisms, and accountability controls, while secure mobile platforms are supported via zero-trust security models and end-to-end encryption. Broadband networks act as a foundational enabler, ensuring low-latency, high-availability connectivity essential for real-time AI inference and mobile access. Compliance-aware decision intelligence integrates regulatory constraints directly into AI-driven decision processes, reducing organizational risk and improving trust. This research synthesizes existing literature, proposes a methodological framework, and discusses advantages, limitations, and empirical implications. The study concludes that a unified approach is essential for sustainable digital transformation in highly regulated and data-intensive enterprise environments.
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