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World Congress 2025 • Aug 20, 2025 • Session details

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

Prof Smoke

Attackers think in graphs, so why are defenders still searching through lists? Learn to build native Kusto graph models from tabular data in minutes using generative AI.

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#1 about 3 min

Gamifying database feature learning with capture the flag

How capture the flag events creatively introduce and teach modern database capabilities.

#2 about 1 min

Overview of the Kusto big data analytics platform

The core capabilities of Kusto for handling large streams of high-velocity telemetry data.

#3 about 2 min

Embedding graph capabilities deeply into a relational engine

Consolidating security data by bringing native graph processing functions directly to the primary relational store.

#4 about 2 min

Evolving graph capabilities to first party engine objects

The architectural evolution from in-memory tabular graph retrofits to fully integrated native graph constructs.

#5 about 2 min

Defining graph structures using parameterized json objects

Structuring flexible node and edge definitions to correctly assemble network layers from raw relational datasets.

#6 about 3 min

Processing global telemetry data queries at massive scale

An overview of global data ingestion environments executing over seven million processor cores.

#7 about 4 min

Combining time series anomaly detection with network analysis

Implementing complex query pipelines that unite time series decomposition, geospatial distance, and semantic similarity evaluations.

#8 about 2 min

Materializing and persisting complex referential graph models

Abstracting complex multi-step procedural mapping logics into clean, queryable network model representations.

#9 about 2 min

Overcoming the difficulty of modeling cybersecurity attack graphs

The iterative manual bottlenecks required to untangle relational tables into valid security investigation structures.

#10 about 3 min

Automating structural graph generation using large language models

Using specialized tool integrations and coding assistants to rapidly evaluate relational schemas and infer graph relationships.

#11 about 6 min

Generating lateral movement security graphs from raw datasets

Prompting autonomous assistants to discover logical security connections and produce interactive hardware network visualizations.

#12 about 2 min

Leveraging Python visualization libraries for hardware accelerated rendering

Accelerating interactive graph density by offloading visual layout algorithms to dedicated hardware processors.

#13 about 2 min

Provisioning developer telemetry clusters for interactive training scenarios

Methods to deploy no-cost database environments to immediately practice analytics functions across simulated scenarios.

Matching moments

1:44 min

Introduction to generative AI and knowledge graphs

Michael Hunger Michael Hunger · World Congress 2024

4:20 min

Leveraging connected teamwork graphs to generate massive AI returns

Avani Prabhakar Avani Prabhakar · World Congress 2026 Europe

1:21 min

Summary of decoupling analytical compute and storage

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · World Congress 2023

3:50 min

Overcoming developer intimidation when integrating foundational graph structures

2:24 min

Transforming unstructured email data into customized user knowledge graphs

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

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