The most valuable asset for any organization and individual is data and the information it holds. This is the main reason for Information Security to be the top concern in boardrooms and executive meetings. Security failures and data breaches now can impact an organization or a country's budget economy. To reduce Cybersecurity risks and improve data protection, there is an urgent need to implement a standard Framework for Cybersecurity. This framework utilizes AI and ML by including Policies, Guidelines, Standards and Practices, and data sources from Cloud Infrastructure systems like networks, servers, security systems, and end-user devices. Combining the data set gathered and risk governance information with Artificial Intelligence and Machine Learning. This research presents a framework that collects datasets, enriches and validates logs and datasets, then correlates them to analyze and predict the response to Cyber attack with high level of accuracy using ML model.