The estimated volume of money laundering worldwide is approximately $2 trillion, with Germany being a significant contributor at $100 billion. Governments and companies are implementing stricter regulatory requirements to combat this issue, affecting corporations of all sizes. Effective Anti-Money Laundering (AML) compliance requires more than just technical measures, but also risk analysis, transaction monitoring, employee training, and documentation. A comprehensive solution is crucial for managing complex data networks, which can only be handled with an IT system like KERBEROS, built on native graph database Neo4j. This solution provides flexibility, allowing developers to adapt to evolving legislation and regulations, and enables business users to define and run database queries without coding expertise. The KERBEROS solution is a prime example of how graph technology can overcome rigorous compliance challenges such as multi-layered risk management regulations in AML.