Scalable Artificial Intelligence Architectures for Cloud Computing Enterprise Security and Intelligent Data Analytics
Abstract
Modern enterprise environments generate massive volumes of high-velocity data, creating an urgent need for scalable Artificial Intelligence (AI) architectures capable of unifying robust cloud security with real-time intelligent data analytics. Traditional security and analytics frameworks struggle under distributed cloud workloads, suffering from compute bottlenecks, latency, and fragmented threat detection. This paper proposes a unified, scalable AI architectural framework designed to optimize enterprise resource allocation while securing distributed cloud infrastructure. Integrating microservices-based AI pipelines, distributed deep learning, and privacy-preserving mechanisms like federated learning, the system achieves real-time threat telemetry analysis and predictive analytics. The architecture employs self-optimizing orchestration layers to adjust computing power dynamically according to data traffic spikes, ensuring continuous system availability and strict compliance with enterprise data governance. By pairing automated anomaly detection with advanced predictive analytics, the proposed model identifies zero-day threats, reduces false-positive security alerts, and extracts actionable business intelligence from complex unstructured datasets. Experimental evaluations demonstrate significant improvements in processing throughput, reduced detection latency, and lowered infrastructure overhead compared to monolithic cloud setups. Ultimately, this scalable architecture provides a foundational blueprint for modern enterprises seeking to enhance cyber resilience, maintain compliance, and derive maximum strategic value from their cloud-native data assets.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 3 No. 4 (2020): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
4726-4733 |
Published |
July 8, 2020 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr.R.Sugumar (2020). Scalable Artificial Intelligence Architectures for Cloud Computing Enterprise Security and Intelligent Data Analytics. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 3 No. 4 (2020): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 4726-4733. https://doi.org/10.15662/IJAESIT.2020.0304002 |
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