International Journal For Multidisciplinary Research

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Adaptive Security Paradigms: The Role of Al in Safeguarding Distributed Data Across Multi-cloud Platforms

Author(s) Phanindra Kalva, Srikanth Padakanti, Sudheer Chennuri
Country United States
Abstract The proliferation of multi-cloud infrastructures in modern data management strategies has introduced complex security challenges that traditional measures struggle to address effectively. This article investigates the potential of AI-powered security frameworks to enhance distributed data protection across diverse cloud environments. By leveraging advanced machine learning algorithms and predictive analytics, these frameworks offer real-time threat detection, adaptive access controls, and intelligent encryption management. The article examines the key components of AI-driven security systems, including automated anomaly detection and behavior analysis, and their integration with existing security protocols. Through a series of case studies and real-world applications, we demonstrate the efficacy of these frameworks in identifying vulnerabilities, initiating proactive security measures, and maintaining compliance with industry regulations. Our findings indicate that AI-powered security frameworks provide a scalable, adaptive, and robust solution for safeguarding distributed data assets in the dynamic landscape of multi-cloud infrastructures. However, the research also acknowledges potential limitations and ethical considerations, paving the way for future advancements in this critical area of cybersecurity.
Keywords Keywords: Multi-cloud security, AI-powered frameworks, Distributed data protection, Machine learning cybersecurity, Adaptive threat detection.
Field Computer
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-31
Cite This Adaptive Security Paradigms: The Role of Al in Safeguarding Distributed Data Across Multi-cloud Platforms - Phanindra Kalva, Srikanth Padakanti, Sudheer Chennuri - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29551
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29551
Short DOI https://doi.org/g8p2vg
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