Money laundering and terrorist financing have become serious issues of today, continuously evolving with technology to develop new methods. The aim of this thesis is to analyze the systems and processes for preventing money laundering and terrorism financing. It aims to demonstrate how information technology solutions can assist in a faster and easier prevention process. By applying and implementing information technology in the processes of preventing money laundering and terrorism financing, the process of identifying money laundering and terrorism financing is illustrated. Based on case studies, a real picture of the use of information technology and its implementation in cases of money laundering and terrorism financing from the financial world is presented. Information technology solutions are implemented based on case studies, and then their outcomes and impacts are analyzed. Data quality, system integration, and adaptation to regulatory changes are key success factors. Lessons learned from case studies underscore the importance of quality data in the processes of preventing money laundering and terrorism financing, emphasizing the need for accurate and comprehensive information for effective analysis and identification of suspicious activities. In order to cope with dynamic regulatory environments and demands, financial and non-financial institutions need to continuously invest in technology, personnel, and data management processes to ensure accurate and comprehensive monitoring and prevention of money laundering and terrorism financing.