Security and Privacy Mechanisms in AI-Driven Cloud Platforms

Abstract

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.