Scaling Cybersecurity Analytics Without Scaling Costs

Cybersecurity teams often struggle with the cost and scale of analyzing massive telemetry. JetBlue solved this by building a security-first analytics platform on the Databricks lakehouse.

By leveraging Delta Lake, Auto Loader, and Databricks SQL, JetBlue ingests high-cardinality data into low-cost cloud storage, applying compute only when necessary. This enables long-term retention and flexible analysis that legacy tools find prohibitively expensive.

Using Databricks SQL, they developed a fastly-focused security layer to:

• Detect anomalies and bot abuse
• Measure CAPTCHA effectiveness
• Analyze attack trends by IP, geography, and path
• Support real-time and historical investigations
• Decoupling storage from compute resulted in faster investigations, better visibility, and significant savings. Attendees will learn how to use Databricks to scale detection and investigation workflows cost-effectively.