REVOLUTIONIZING CLOUD PRIVACY THROUGH INTELLIGENT ANONYMIZATION
Keywords:
AI-Enhanced Privacy, Cloud Migration Security, Compliance FrameworkAbstract
This article examines the critical challenges and solutions in protecting sensitive data during cloud migration, mainly focusing on non-production environments. It explores the implementation of AI-enhanced differential privacy frameworks for automated data anonymization across diverse platforms. The article addresses the growing complexity of enterprise architectures, the evolution of cybersecurity measures, and the importance of maintaining data privacy in multi-cloud environments. The article presents a comprehensive framework incorporating automated data discovery, intelligent anonymization, cross-platform integration, and detailed implementation strategies. It demonstrates how organizations can achieve enhanced security, operational efficiency, and regulatory compliance through structured privacy frameworks while maintaining data utility and system performance.
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Copyright (c) 2025 Krupal Gangapatnam (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
