This article discusses the use of graph visualization tools like Bloom from Neo4j AuraDB to empower open-source cyber threat intelligence analysis. It highlights the importance of open-source cyber threat intelligence and its benefits, such as accessibility, cost-effectiveness, and collaboration among security professionals. The author demonstrates a low-code approach to combine Bloom with AlienVault's Open Threat Exchange (OTX) to enable more powerful visual threat investigations. The tutorial covers creating a database schema, launching Bloom, importing a perspective, exploring WannaCry ransomware intelligence, and discussing further discussion points. The article emphasizes the potential of graph visualization tools to simplify navigation through related information, provide on-demand intelligence retrieval, and facilitate scenario-specific analysis using Cypher.