Strategic Management of AI-Driven Cloud Security Frameworks for Global Enterprises

AI is being brought into cloud environments at a higher rate and therefore; new strategic approaches towards dealing with security threats are required. This study develops an original AI-based reference architecture for cloud security management for global organizations with a focus on threat preemptive identification, automated actions, and achieving compliance with standards in different geographies. Utilizing machine learning approaches, behavior analysis and anomaly detection and, real-time data analysis, the formulated framework improves defense against complex cyber threats and at the same time improves the utilization of resources. It also defines a hybrid governance model to address concerns in localism of data citizenship, inter-cloud integration and compliance. To provide the necessary cybersecurity layers, the architecture uses IDS that is based on artificial intelligence, encryption, and a zero-trust IT environment. It also brings out a dynamic risk assessment model that is relevant to the changing threat environment and the unique environment for every enterprise. With the consistent integration of the latest research in strategic management and AI technologies, this research aims at offering a solution to the information security problem by facilitating the use of smart technologies as a suitable and applicable solution to the problem, leading to the accomplishment of the cloud transformation agenda among world-class firms.