Kusto is a big data analytics platform optimized for interactive workloads on trillions of rows and petabytes of data.
Internal security teams drove the integration of graph capabilities directly into the relational engine to analyze data where it resides.
Persistent graphs are defined using a JSON object that specifies an optional schema and a series of steps for adding nodes and edges.
KQL enables powerful graph analysis by combining time-series anomaly detection with graph pattern matching inspired by Cypher.
A custom AI assistant built with GitHub Copilot and MCP servers automates the tedious manual process of inferring graph models from tables.
Watch how an AI agent analyzes table schemas, proposes a lateral movement scenario, and automatically generates the graph model and queries.
A new connector to Graphistry uses GPUs to render millions of nodes and edges from Kusto for advanced visualization.
1:00:19Jennifer Reif
31:39Rainer Stropek
28:53Mike
15:26Gregor Schumacher, Sujay Joshy & Marcel Gocke
29:35Liuba Gonta & Yuliya Khadasevich
28:40Dr. Alexander Wachtel & Julia Kordick
23:33Oliver Will
08:23Julia Kordick
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