Case Study: Solaris Group boosts threat detection and SOC efficiency with Hunters.ai

Solaris Group Ditches Manual Rules and Focuses on Automated Threat Detection

Solaris Group, a Berlin-based Banking-as-a-Service leader in the highly regulated financial services sector, needed to modernize its security operations as data volumes grew beyond the limits of its legacy SIEM. The team struggled with siloed data sources, limited visibility, lack of out-of-the-box detections, and too much time spent on manual rule writing and investigation work.

With Hunters.ai and the Hunters SOC Platform, Solaris centralized security data in its Snowflake data lake, ingested custom threat intelligence and banking-specific logs, and used automated detection, investigation, and correlation to replicate prior SIEM use cases. The result was less manual rule writing, improved collaboration and visibility, and stronger security posture, while reducing mean time to detect, dwell time, and mean time to respond.

Solaris Group

Pranav Vattaparambil

VP of Cybersecurity