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Explore modern cybersecurity data infrastructure challenges and discover how graph-based streaming solutions can transform threat detection and analysis. Survey common architectural patterns in cybersecurity systems, examining the limitations of traditional fragmented setups that span log pipelines, SIEM platforms, data lakes, and threat detection engines. Learn how these conventional approaches often result in costly, hard-to-evolve systems that limit real-time performance, scalability, and explainability. Discover a revolutionary graph-based streaming solution that leverages Ursa, a high-performance data streaming engine, combined with PuppyGraph, a graph query engine built on Apache Iceberg. Understand how treating cybersecurity data as a connected graph rather than isolated tables or events enables intuitive threat modeling, faster investigations, streamlined architecture with reduced ETL overhead, and high-performance, scalable, real-time analysis. Examine industry case studies that demonstrate measurable performance gains and infrastructure simplification through this innovative approach. Gain insights into modernizing cybersecurity data pipelines and improving operational efficiency, making this session particularly valuable for security engineers, data architects, and system designers working to enhance their organization's cybersecurity capabilities.
