Graph Relationships Win Over Vector Search for Cybersecurity Intelligence

Cybersecurity threats form interconnected networks of relationships—threat actors, malware, vulnerabilities—that traditional vector RAG systems fail to capture. CyberGraph RAG addresses this by modeling threats as graph relationships in TigerGraph, enabling accurate multi-hop queries for threat intelligence that reduce hallucinations and improve attack attribution.