Today, we face the simple fact that yesterday’s security model—traditional cloud strategies based on static policies, etc. aren’t even a good volley against these threats and are far from being bulletproof! Existing systems are usually static in nature and as a result less capable to provide security against new evolving threats, thus this paper suggests an AI-based dynamic learning model that changes with time. Using sophisticated machine learning models, the model changes its secure policies and configurations in real-time across multi-cloud environments for proactive responses against adversaries. Simulation results illustrate the security strengthening ability of our model, which can reduce response time and increase detection success rate obviously in cloud environment.