How to Use Entity-Driven Analytics for Threat Detection
Traditional SIEMs struggle to connect fragmented alerts, letting advanced threats evade detection. Graph-driven visualization transforms threat hunting by mapping attacks as interconnected nodes (IPs, users, assets) and edges (relationships), exposing hidden kill chains. This approach reveals lateral movement, command-and-control infrastructure, and APT tactics 60% faster than log-based tools. Learn how leaders like Mandiant leverage Neo4j and Maltego to:
1. Visualize cross-environment attack paths
2. Reduce false positives by contextualizing IoCs
3. Accelerate incident response with predictive graph analytics
Future-proof your SOC with AI-enhanced graph models that turn relationship data into actionable intelligence.
