Workshop introduces a Security Lakehouse framework that uses Azure & Databricks to unify data, unlock deeper analytics & accelerate threat detection. We’ll walk through strategies for ingesting diverse data sources, from Azure AD & Defender telemetry to AWS, GCP, and on-prem workloads into Delta Lake. Building on this foundation, we’ll explore how advanced analytics, graph models, and machine learning can move security operations from reactive alert triage to proactive decision-making.

Participants will leave with a reference architecture, practical design patterns, and hands-on examples that they can adapt to partner offerings or client environments, helping them transform security data into actionable outcomes at enterprise scale.