How Databricks Powers Real-Time Threat Detection at Barracuda XDR
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | MLFlow, Databricks SQL, DLT |
Skill Level | Intermediate |
Duration | 40 min |
As cybersecurity threats grow in volume and complexity, organizations must efficiently process security telemetry for best-in-class detection and mitigation. Barracuda’s XDR platform is redefining security operations by layering advanced detection methodologies over a broad range of supported technologies. Our vision is to deliver unparalleled protection through automation, machine learning and scalable detection frameworks, ensuring threats are identified and mitigated quickly.
To achieve this, we have adopted Databricks as the foundation of our security analytics platform, providing greater control and flexibility while decoupling from traditional SIEM tools. By leveraging DLTs, Spark Structured Streaming and detection-as-code CI/CD pipelines, we have built a real-time detection engine that enhances scalability, accuracy and cost efficiency.
This session explores how Databricks is shaping the future of XDR through real-time analytics and cloud-native security.
Session Speakers
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Merium Khalid
/Director, SOC Offensive Security
Barracuda Networks
Alex Dangel
/Manager of Detection Engineering
Barracuda Networks