Abstract

The growing dependence on cloud-based enterprise platforms in financial domains necessitates secure, intelligent, and performance-optimized analytics frameworks. This paper presents an AI-enabled SAP enterprise framework designed to enhance secure cloud performance and advanced financial analytics through intelligent testing mechanisms. The proposed framework integrates SAP Business Technology Platform (BTP), cloud-native AI and machine learning models, and automated testing strategies to monitor, analyze, and optimize enterprise workloads in real time. Intelligent testing and randomization techniques are employed to validate system resilience, detect performance bottlenecks, and identify security vulnerabilities under dynamic cloud conditions. The framework supports large-scale financial data processing, enabling accurate risk assessment, fraud detection, and business intelligence while ensuring data confidentiality and regulatory compliance. Security is reinforced through AI-driven anomaly detection, continuous validation, and policy-based access control. Experimental evaluation indicates improved cloud performance stability, enhanced analytical accuracy, and reduced security risks compared to traditional SAP enterprise deployments. The proposed approach provides a scalable and robust solution for secure financial analytics in modern cloud-based SAP environments.