Internal threats to IT systems pose significant risks and financial costs to businesses and governments. Unlike external attacks, detecting internal threats remains a challenge as IT logs are rarely shared between organizations. This project aims to leverage synthetic IT log data and an insider threat answer key to develop a data model that can predict insider threats. By doing so, Morton Analytics seeks to innovate towards a commercial insider threat detection service. This project will focus on converting log data into a structured format suitable for statistical and machine learning models, ultimately creating a robust solution for identifying potential insider threats.