Case Study: Barracuda Networks achieves real-time threat detection and lower data costs with Databricks

Achieving Real-Time, Scalable Threat Detection with Databricks

Barracuda Networks needed a faster, more scalable way to detect and respond to rapidly evolving cyber threats. Its legacy tools struggled with speed, scale, and cost efficiency, so Barracuda turned to Databricks and its data platform to modernize security operations for Barracuda Managed XDR.

Using Databricks, Barracuda unified logs from multiple sources with Autoloader, a medallion lakehouse architecture, and Lakeflow Jobs, then automated detection engineering with version-controlled, reusable workflows. With Databricks streaming workflows and Photon, Barracuda now delivers critical security alerts in under five minutes, cuts data platform costs by 75%, and frees engineers to focus on new threats instead of infrastructure management.

Barracuda Networks

Merium Khalid

Director, SOC Offensive Security