Graph Masterclass: Investigative Analytics for Cyber, Fraud, & AML
Why Graphs for Investigations?
Modern investigations break when analysts are forced to guess the right query too early.
Cyber incidents, fraud rings, and money-laundering schemes don’t follow neat schemas - they emerge as networks of relationships over time. Graph analytics lets you see those relationships instantly, pivot in real time, and follow the evidence wherever it leads.
This masterclass shows how to engineer data for graph analytics and use interactive visual exploration to uncover threats, fraud, and hidden networks - faster and with more confidence.
Who This Is For
Designed for teams who work with complex, high-volume data:
Data Engineers building pipelines for security, fraud, or compliance
Cybersecurity Analysts & SOC Teams investigating alerts and campaigns
Fraud & AML Investigators uncovering coordinated networks
Data Scientists & Analytics Leaders supporting investigative workflows
No prior graph experience required.
What You’ll Learn
In one focused day, you’ll learn how to:
Model tabular data as investigation-ready graphs
Build scalable graph pipelines from SQL, logs, and transaction data
Use exploratory visual analytics to surface anomalies and hidden structures
Pivot through relationships without writing complex queries
Apply graph workflows to cybersecurity, fraud, and AML use cases
Move from ad-hoc exploration to repeatable investigative playbooks
What Makes This Different
✔ Investigation-first, not theory-first
✔ Hands-on labs with real investigative datasets
✔ Built for scale - millions of nodes and edges
✔ Used in production by security, fraud, and compliance teams
✔ No brittle queries or pre-defined dashboards
This isn’t a graph database lecture. It’s about how real investigations actually happen.
Agenda Highlights
Data Engineering for Graph Analytics
Learn how to transform logs, events, and transactions into graph-ready models that scale.
Exploratory Visual Analytics
See patterns emerge before you know what to ask - clusters, anomalies, hubs, and bridges.
Cybersecurity Investigations
Track lateral movement, credential abuse, and attack campaigns across infrastructure and identities.
Fraud & AML Investigations
Uncover hidden networks, synthetic identities, and money-laundering typologies.
From Insight to Action
Operationalize investigations, share findings, and integrate with SOC and compliance workflows.
Hands-On, End-to-End
Participants work through guided labs covering:
Graph modeling & ingestion
Interactive visual exploration
Multi-step investigative scenarios
Explaining findings to stakeholders
You’ll leave with practical workflows you can apply immediately.
What You Get
Live instruction from graph analytics experts
Hands-on labs and investigation datasets
Reference data models for cyber, fraud, and AML
Investigative playbook templates
Certificate of completion