Adobe's Security Lakehouse - OCSF, Data Efficiency and Threat Detection at Scale

Explore how Adobe leverages the Databricks Data Intelligence Platform and Open Cybersecurity Schema Framework (OCSF) to build a sophisticated security lakehouse architecture capable of processing over 10 petabytes of security data for real-time threat detection at enterprise scale. Learn about different OCSF implementation approaches and discover how Adobe achieved an 18% reduction in query times while maintaining 99.4% SLA compliance across 286 security users spanning 17 teams who execute over 4,500 daily queries. Examine the technical architecture that enables serverless compute, scalable processing, and LLM-powered recommendations, resulting in significant cost savings and improved operational efficiency. Understand how OCSF facilitates advanced cross-tool analytics and automation to streamline security investigations, and get introduced to Databricks' new open-source OCSF toolkit designed for scalable security data normalization. Gain insights from industry experts Andrew Krioukov, CEO of Antimatter, and Bharat Gamini, Lead Security Data Engineer at Adobe, as they demonstrate practical implementation strategies for building enterprise-grade security data platforms that can handle massive datasets while delivering high performance and reliability.