Intelligent AI and Machine Learning–Based Financial Analytics for Secure SAP Systems with Real-Time Cloud Monitoring
DOI:
https://doi.org/10.15662/IJARCST.2024.0705012Keywords:
AI-Powered Analytics, Machine Learning, Financial Data Analytics, SAP System Security, Real-Time Cloud Monitoring, Predictive Risk Analytics, Anomaly Detection, Fraud Detection, Cloud Security, Operational EfficiencyAbstract
In modern enterprises, financial data analytics and SAP system security are increasingly critical for operational efficiency and risk management. This paper presents an AI and machine learning-powered financial data analytics framework that integrates real-time cloud monitoring and predictive risk analytics to enhance SAP system security. The framework consolidates financial and operational data from SAP systems into cloud platforms, enabling high-performance, real-time analysis. Machine learning models detect anomalies, forecast potential risks, and identify fraudulent or suspicious activities proactively. Real-time cloud monitoring ensures continuous visibility into system performance, user activity, and security events, while predictive risk analytics enable preemptive mitigation of threats. By combining AI-driven insights with automated security controls and compliance enforcement, the framework strengthens SAP system security, supports informed decision-making, and optimizes financial operations in dynamic cloud environments.
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