In the realm of cybersecurity, visualizing attack strategies through graph networks, or attack graphs, is crucial for both attackers and defenders. Attackers often view systems as graphs to identify the shortest path to critical assets, which are valuable targets within a network. Defenders can adopt similar strategies using graph database technology, like Neo4j, and visualization tools such as G.V() to preemptively identify and fortify against potential attack paths. By conceptualizing systems as graphs, defenders can easily identify vulnerable nodes and paths, allowing them to implement targeted security measures. This method not only provides an efficient way to analyze complex networks but also helps cybersecurity teams to predict and mitigate potential threats effectively. The integration of tools like Neo4j and G.V() enables intuitive exploration of these attack paths without extensive coding, offering a robust defense strategy against cyber threats.