AI-Driven Cybersecurity Framework for Securing Multi-Cloud Data Warehouses in Enterprise BI Ecosystems
Keywords:
AI-driven cybersecurity, multi-cloud data warehouses, machine learning, anomaly detection, automated incident response.Abstract
The growing use of multi-cloud environments within corporate business intelligence (BI)systems has greatly increased the potential for data storage and analysis. However, it has also increased the potential for cybersecurity issues.
References
R. Vargas ‐Bernal, “Emerging Trends and Future Directions in Artificial Intelligence for Next ‐Generation Computing, ” Computational Intelligence for Autonomous Finance, pp. 289 –312, Nov. 2024, doi: 10.1002/9781394233250.ch14.
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Published
2025-12-20
How to Cite
Bose Pandian Chandran. (2025). AI-Driven Cybersecurity Framework for Securing Multi-Cloud Data Warehouses in Enterprise BI Ecosystems. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 1134–1152. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5076
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