From SIEM to Lakehouse: A Practical Path to SOC Modernization with Databricks & Anvilogic

If you’re a detection engineer, SOC lead, or architect tired of chasing alerts in fragmented toolsets, this is your roadmap to building a modern, AI-driven SOC. From global enterprises like SAP, to fast-paced startups born in the cloud, we’re helping SOC teams of all sizes take SecOps into the future. Traditional SIEMs weren’t built for the scale, speed, or complexity of today’s security data. As log volumes explode and detection engineering evolves, many security teams are reaching a tipping point, where the increasing cost of ingestion no longer provides alert value or ROI. In this technical session, experts from Anvilogic and Databricks will walk through a practical migration strategy for modern security operations. You’ll learn how to: Offload telemetry from your legacy SIEM into Databricks to improve cost and performance without disrupting detections. Run Anvilogic detections natively on Databricks, reducing reliance on SIEM consoles and vendor lock-in. Build and correlate detections across multiple data sources without rewriting content for every tool. Use AI agents to automate detection engineering, triage, and tuning, cutting alert volume and operational overhead. Whether you’re augmenting Splunk, replacing Sentinel, or looking to escape SIEM lock-in altogether, this webinar shows how to take the first step, and just how far it can take you!