Abstract: A cyber security system employing machine learning techniques to help predict and protect computing systems from cyber-attacks. The system comprises data sources for storing security data, a deployment infrastructure for generating a portion of the security data insights, and a data analytics module for processing the security data. The data analytics module includes a data connector unit for collecting and organizing the security data into a selected format, a data preprocessing unit for cleaning the organized security data, a cyber feature unit for identifying based on preselected cyber features selected portions of the cleaned security data associated with the cyber features, a model development unit for applying one or more selected machine learning techniques to the features to form output model data, and a model prediction unit for generating based on the output model data one or more prediction values based on the cleaned security data and the cyber features.