Design and Implementation of an AI-Driven Risk-Aware Security Framework for SAP Systems on AWS Cloud
DOI:
https://doi.org/10.15662/IJEETR.2024.0606012Keywords:
AI-Driven Security, Risk-Aware Framework, SAP Systems, AWS Cloud, Predictive Analytics, Real-Time Monitoring, Cloud Security, Machine Learning, Identity and Access Management, Anomaly DetectionAbstract
Enterprises increasingly rely on cloud platforms to host critical SAP systems, raising the need for robust, intelligent security frameworks. This paper presents the design and implementation of an AI-driven, risk-aware security framework for SAP systems on AWS Cloud. The proposed framework leverages machine learning and artificial intelligence to continuously monitor system activity, user behavior, and network traffic, enabling real-time threat detection, risk assessment, and anomaly identification. Integration with AWS native security services, such as identity and access management, encryption, and logging, ensures secure and compliant cloud operations. Predictive analytics allow proactive mitigation of potential security incidents, while automated policy enforcement enhances operational efficiency. The architecture demonstrates how combining AI with risk-aware strategies strengthens SAP cloud security, reduces response time to threats, and ensures regulatory compliance.
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