AI-Agent–Powered Cloud DevOps: Securing SAP–Oracle Integration through Real-Time Risk Analytics and SQL Performance Optimization
DOI:
https://doi.org/10.15662/IJRAI.2025.0806802Keywords:
Banking cloud, Resilience, Artificial Intelligence, Real time processing, Event driven architecture, Operational risk, Cloud nativeAbstract
The banking industry is undergoing a profound digital transformation driven by regulatory demands for operational resilience, the proliferation of real‑time transactions and payments, and the adoption of cloud‑native and AI‑powered systems. This paper proposes a framework for a resilient banking cloud platform that integrates artificial intelligence (AI)‑enabled applications with real‑time data processing and event‑driven architectures. The goal is to enable banks to achieve high availability, low‑latency decision‑making, automated anomaly detection and regulatory compliance while maintaining fault‑tolerant infrastructure and business continuity. We review literature on cloud adoption in banks, AI in risk management and real‑time analytics, draw out key architecture patterns (such as multi‑region active/active deployments, streaming event pipelines, AI models for fraud/risk detection) and propose a mixed‑method research methodology to evaluate such a platform in a simulated banking environment. The results demonstrate that the proposed integration yields significant improvements in availability, processing speed and risk detection metrics, while also uncovering challenges around data governance, model explainability, and latency‑consistency tradeoffs. We conclude with recommendations for banking institutions seeking to adopt such resilient cloud‑AI platforms and outline future work on adaptive AI orchestration, edge‑cloud hybrid deployments and real‑time regulatory reporting.
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