AI-Powered Optimization of Security and Resource Management in Enterprise Multi-Cloud Platforms

Abstract

The increase in the number of firms adopting multi-cloud in their business operations requires progressive approaches to efficient security and resource utilization. This paper provides a new approach where AI is used to improve operational performance and security in multi-cloud environments. The proposed solution produces solutions to important issues related to cloud-network integration through a balance the processing time, energy use, and cost. As suggested, based on the principle of AI and expert rule system the work load of different cloud can be nicely integrated with the help of this framework and it also ensures secure integration of different cloud infrastructure. Probably, one of the most important strengths of the proposed strategy is its capability to make smart real-time decisions with usage of dynamic information and changing service requirements. This is consistent with the logic of the network following the cloud and the cloud responding to the data, and minimizes latency and leverages ER resources. This locks-in operational efficiencies especially within contemporary multicloud landscapes which are rather convoluted and demanding of resources.