Security and Privacy Mechanisms in AI-Driven Cloud Platforms
The rise of AI-driven cloud platforms has highlighted the need for robust security and privacy mechanisms. These platforms handle sensitive data and complex AI workloads, making them targets for cyber threats. A new solution combines multi-layered encryption with AI-enhanced anomaly detection for secure data processing and storage. This is the first of its kind to integrate advanced encryption with real-time AI-based threat detection for cloud environments. Preliminary tests show significant improvements in data security, reducing vulnerability by over 40%. This breakthrough strengthens the security framework of AI-driven cloud platforms and sets a new standard for privacy preservation.
| Year of publication: |
2025
|
|---|---|
| Authors: | Goel, Pawan Kumar ; Sharma, Avinash Kumar ; Komal, Km ; Mahur, Lakshay Singh |
| Published in: |
Establishing AI-Specific Cloud Computing Infrastructure. - IGI Global Scientific Publishing, ISBN 9798369396964. - 2025, p. 179-192
|
Saved in:
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