Graph databases can help implement effective cybersecurity solutions due to their ability to provide a holistic view of enterprise networks, allowing for quick risk identification, anomaly detection, and system protection. This is demonstrated through an example use case using Neo4j, where a fictitious Active Directory environment is created to showcase the power of graph-based querying in cybersecurity. The concept of attack paths and network insights are also explored, highlighting the potential of graph databases in zero-trust security approaches.