Real-Time Cloud and AI Network Ecosystem: SAP-Integrated KNN Analytics for Cybersecurity
DOI:
https://doi.org/10.15662/IJRAI.2025.0804007Keywords:
Real-Time Cloud Ecosystem, AI Network, K-Nearest Neighbor (KNN), SAP Data Intelligence, Cybersecurity, Anomaly Detection, Predictive Analytics, Network SecurityAbstract
The increasing complexity and scale of modern networked systems necessitate advanced solutions that integrate cloud computing, artificial intelligence (AI), and real-time data analytics to maintain robust cybersecurity. This paper presents a Real-Time Cloud and AI Network Ecosystem specifically designed to enhance cybersecurity through the integration of K-Nearest Neighbor (KNN) analytics and SAP-driven data intelligence. The proposed framework leverages AI to process high-volume, high-velocity data streams in real-time, enabling immediate detection and classification of potential cyber threats. KNN-based machine learning algorithms are employed for accurate anomaly detection, threat classification, and predictive risk analysis, ensuring that security measures are proactive rather than reactive. SAP integration provides enterprise-grade data governance, workflow automation, and operational transparency, supporting compliance with regulatory standards and enhancing decision-making processes. The architecture incorporates scalable cloud infrastructure and distributed network nodes, allowing seamless interoperability between IoT devices, cloud services, AI-driven analytics, and enterprise systems. Additionally, advanced cybersecurity protocols—including encryption, role-based access control, and continuous monitoring—are embedded to safeguard sensitive data and maintain system integrity. By combining real-time data processing with intelligent machine learning models and robust security mechanisms, this ecosystem facilitates predictive threat mitigation, enhanced operational efficiency, and increased trust in cloud-based network environments. The framework is adaptable across multiple sectors, including financial services, healthcare, and critical infrastructure, offering a scalable and resilient model for next-generation cybersecurity in complex, data-intensive ecosystems.
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