The Critical Threats Project uses Neo4j as a backbone for its intelligence analytics, leveraging its graph database structure to connect and analyze vast amounts of unstructured data from various sources. This allows the organization to easily bring together disparate data sources, visualize relationships, and derive insights into conflict areas globally. The team chose Neo4j due to its flexibility, ease of use, and reliability, which are crucial for their dynamic environment and ability to adapt to new ideas and data structures. Graph technology is valuable in the intelligence community as it supports network connections, traversal, and data munging, making it an ideal solution for analyzing complex networks and relationships. The project has found Neo4j to be a user-friendly interface and Cypher queries intuitive, even for novice programmers, and its reliability has been crucial for maintaining large datasets with minimal maintenance.