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Security’s toughest challenges are, at their core, data challenges. Nearly 60% of organizations lack adequate access to the data feeds and logs needed to meet their detection objectives.

It’s no surprise that thousands choose Databricks to solve data + AI challenges at scale—without compromising security due to budget caps.

Detection engineering is the backbone of effective threat management. But what if you could build detections in minutes, seamlessly connect diverse environments, and continuously optimize rule health—all on cost-effective storage? With Anvilogic’s latest integration, Databricks customers gain powerful, scalable detection engineering capabilities designed for modern security operations. Explore the product in real time, and see how decoupled detection engineering changes the game.

Don’t just watch the screen—be part of it.

Alex and Peter will walk through the following agenda:

Decoupling detection logic with Detection-as-Code principles for flexibility, performance and scalability

• Building detections in minutes using PySpark on Databricks
• Correlating multi-layer threat scenarios  for cross-platform stitching
• Tuning ML on to keep alerts down
• Interactive Demo: Experience the integration in real-time — build detections, interact with the logic & dashboards, and see the impact firsthand

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Alex Hurtado, Detection Engineering Leader, Anvilogic

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Peter Kazmir, Director of Product Management, Anvilogic

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