Uncovering hidden threats in cyber security demands more than a single tool or technique. It requires a truly integrated approach. This session demonstrates how to combine the strengths of KQL (Kusto Query Language), GQL (Graph Query Language), and advanced KQL graph semantics to unlock deeper insights.
You’ll learn how to design and query graph data structures, apply KQL graph operators to reveal complex relationships, and use GQL for advanced graph traversal and pattern matching. We’ll also showcase powerful graph visualization techniques that make it easier to interpret and communicate findings from interconnected datasets.
Through practical, real-world examples, you’ll see how this combined approach accelerates data exploration, exposes hidden dependencies, and enables advanced threat analytics. Whether you’re a cyber security professional, data scientist, or technology enthusiast, this session will equip you with the knowledge to elevate your security strategies and harness the full potential of your data.

Attendees should have a basic understanding of KQL and graph databases before joining the session. It is recommended to bring a laptop with access to Microsoft Fabric for hands-on participation. The session is designed for cyber security professionals, data scientists, analysts, and technology enthusiasts, and will run for 60 minutes including time for Q&A. All attendees will receive session materials, example datasets, and sample GQL queries for further exploration after the session.