AI Improves Cross-Platform Data Exchange Security in Heterogeneous Clouds

Authors

  • Prof. Clara Nunes College of Environmental Engineering, University of São Paulo, Brazil Author

Keywords:

cross-platform data exchange, AI, heterogeneous cloud environments, cloud security

Abstract

Cloud computing's rapid growth has generated heterogeneous cloud environments where companies employ several providers and platforms. This restricts cross-platform data exchange, increasing security threats. Due to data breaches, unauthorized access, and data integrity concerns, such circumstances need secure and fast data transit between systems. Traditional security solutions may work but cannot handle various cloud ecosystems' diverse threats. How AI safeguards cross-platform data. AI analyzes risk, threats, and data security in real time using ML, anomaly detection, and data encryption. Studying AI models for data security, cloud infrastructure integration, and real-world applications. Scalability, privacy, and system integration are addressed to give AI-powered cloud security solutions.

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Published

27-12-2022

How to Cite

[1]
P. C. Nunes, “AI Improves Cross-Platform Data Exchange Security in Heterogeneous Clouds”, Newark J. Hum. Centric AI Robot Inter., vol. 2, pp. 294–300, Dec. 2022, Accessed: Dec. 21, 2025. [Online]. Available: https://njhcair.org/index.php/publication/article/view/40