Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

How Databricks Powers Real-Time Threat Detection at Barracuda XDR

Databricks via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
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

Reviews

Start your review of How Databricks Powers Real-Time Threat Detection at Barracuda XDR

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.