AI-Driven Access Control in Cloud-Based Systems
Keywords:
Artificial Intelligence, Hybrid Cloud, Access Control, Operational Management, Machine Learning, Predictive Failure Detection, Anomaly Detection, Automated Recovery, Resource Optimization, Intelligent Cloud Computing.Abstract
This research explores the transformative potential of artificial intelligence (AI) in revolutionizing access control and operational management within hybrid cloud environments. By leveraging advanced machine learning techniques, AI-driven frameworks enable intelligent, adaptive, and real-time solutions to address critical challenges such as predictive failure detection, anomaly detection, and automated recovery. The study demonstrates significant improvements in predictive accuracy (92.7%), anomaly detection precision (94.3%), and resource optimization, including a 65.4% reduction in system downtime. These findings underscore the ability of AI to enhance security, operational efficiency, and resilience in complex, distributed cloud ecosystems, providing a robust foundation for future intelligent cloud computing solutions.
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