How Securin Runs 7-Hop Threat Intelligence Queries in Under 350ms with FalkorDB

Securin, a cybersecurity intelligence company, faced significant challenges with their previous graph database, which experienced high latency and frequent timeouts during deep multi-hop queries essential for their AI-powered threat intelligence platform. These limitations undermined user trust and performance, particularly as their queries often exceeded the 5-hop threshold where the previous system would fail. By migrating to FalkorDB, Securin achieved a drastic improvement with a success rate of 100% across 170 benchmark queries compared to the previous 76.47%, reduced average query latency from 1.43 seconds to 0.33 seconds, and decreased overall agent response time from approximately 15 seconds to under 3 seconds. FalkorDB's architecture, leveraging sparse matrix representation and in-memory execution, enabled efficient handling of complex queries without the latency overhead of network I/O, thus meeting Securin's stringent performance requirements and restoring user confidence in their AI capabilities.