Home Archives Vol. 8 (2024) Article
Type Articles
Open Access
Peer Reviewed
Publication Date Dec 31, 2024

Multi-Cloud Blockchain Application Trust with AI-Powered Security Analytics

M
Maria Costa Lead Data Engineer, Amadeus IT Group, Spain

Abstract

Multi-cloud and blockchain integration presents security and trust challenges. AI-automated security analytics is innovative. AI-powered security solutions' intelligent monitoring, anomaly detection, and automated attack response make cloud blockchain applications more reliable. AI security for multi-cloud blockchains is examined in the article. We study real-time monitoring, predictive threat detection, and vulnerability management in multi-cloud systems utilizing blockchain platforms and AI models including machine learning and deep learning. AI-based blockchain security analytics case studies. Scalability, data security, and cyberattacks are issues and trends.

AI blockchain security analytics multi-cloud

How to Cite

[1]
Maria Costa, “Multi-Cloud Blockchain Application Trust with AI-Powered Security Analytics”, Edinburg J. of Nat. Lang. Proc. and AI, vol. 8, pp. 1–6, Dec. 2024, Accessed: Jun. 15, 2026. [Online]. Available: https://ejnlpai.org/index.php/publication/article/view/5
RIS BibTeX

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