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Learn how Barracuda Networks revolutionized their Extended Detection and Response (XDR) platform using Databricks to build a cutting-edge real-time threat detection system. Discover how the cybersecurity company addressed the growing volume and complexity of security threats by adopting Databricks as the foundation of their security analytics platform, moving away from traditional SIEM tools to gain greater control and flexibility. Explore the technical implementation of their solution using Delta Live Tables (DLTs), Spark Structured Streaming, and detection-as-code CI/CD pipelines to create a real-time detection engine that significantly improves scalability, accuracy, and cost efficiency. Understand how this cloud-native approach enables advanced detection methodologies across a broad range of supported technologies, incorporating automation and machine learning to ensure rapid threat identification and mitigation. Gain insights into the architectural decisions and practical considerations involved in building a modern XDR platform that delivers unparalleled protection through real-time analytics, and see how this implementation is shaping the future of cybersecurity operations in cloud-native environments.
Syllabus
How Databricks Powers Real-Time Threat Detection at Barracuda XDR
Taught by
Databricks