Case Study: Cybersecurity Service Company achieves real-time, scalable web threat classification with TigerGraph

Market Leader in Cyber Resilience Scales Next-Generation Cybersecurity Services in the Cloud with TigerGraph

Cybersecurity Service Company, a market leader in cyber resilience that offers threat intelligence, endpoint protection, and disaster recovery and whose classification service has classified and scored nearly 100% of the Internet, faced a scaling crisis: their SQL Server–based backend could not keep up with the need for accurate, timely threat data and thousands of classifications per second across massive datasets. To solve this, they engaged TigerGraph and its graph analytics capabilities to replace the legacy backend and handle the real-time demands of cloud-based classification.

TigerGraph implemented a cloud-native, graph-based ML pipeline that continuously ingests global threat sensors, categorizes new websites as they emerge, and applies real-time machine-learning–based intelligence at scale. As a result, Cybersecurity Service Company can execute the high-rate classifications required, identify new cyber threats faster, and deliver more accurate and timely threat detection—extending and operationalizing its near-complete URL database and preserving its market-leading position in cloud cybersecurity.