Prof Smoke

From Tables to Graphs in Minutes: Supercharging Kusto Graph Analytics with AI-Powered Development

Attackers think in graphs, but defenders are stuck with lists. See how AI automates the leap from raw data to a complete attack graph in minutes.

From Tables to Graphs in Minutes: Supercharging Kusto Graph Analytics with AI-Powered Development
#1about 3 minutes

Introducing Kusto for interactive analytics at Microsoft scale

Kusto is a big data analytics platform optimized for interactive workloads on trillions of rows and petabytes of data.

#2about 3 minutes

Why graph technology was embedded into the Kusto engine

Internal security teams drove the integration of graph capabilities directly into the relational engine to analyze data where it resides.

#3about 3 minutes

Defining persistent graphs using JSON-based models

Persistent graphs are defined using a JSON object that specifies an optional schema and a series of steps for adding nodes and edges.

#4about 5 minutes

Querying graph data using KQL's match operator

KQL enables powerful graph analysis by combining time-series anomaly detection with graph pattern matching inspired by Cypher.

#5about 4 minutes

Automating graph creation with a custom AI assistant

A custom AI assistant built with GitHub Copilot and MCP servers automates the tedious manual process of inferring graph models from tables.

#6about 6 minutes

AI demo for generating cybersecurity graph models

Watch how an AI agent analyzes table schemas, proposes a lateral movement scenario, and automatically generates the graph model and queries.

#7about 3 minutes

Visualizing large-scale graphs with the Graphistry integration

A new connector to Graphistry uses GPUs to render millions of nodes and edges from Kusto for advanced visualization.

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