Register Here:
Transforming UBO Compliance & Financial Crime Detection with Graph Technology & Agentic AI
Date: Tuesday, February 10, 2026
Time: 5:00 AM ET
Duration: 1 hour
A technical look at how graphs and agentic workflows are used to model ownership, control, and complex relationships.
Topics include:
- Modeling beneficial ownership with graphs
- Traversals vs traditional joins
- Where agent-based approaches fit into investigations
This session focuses on system design, not policy.
Accelerate compliance by revealing hidden ownership structures with Neo4j and agentic AI.
As global transparency regulations evolve, including the EU AML legislation, organizations face growing pressure to trace historical company ownership and identify Ultimate Beneficial Owners (UBOs). Neo4j’s Graph Technology analyzes interconnected ownership data from multiple sources, providing clarity, explainability, and faster insights into corporate structures, ownership dilution and hidden relationships.
Furthermore, Neo4j serves as a dynamic data layer, enabling AI systems to reason over ownership data in real time. Natural language queries let analysts explore indirect control, connections to sanctioned individuals, and other risks through an intuitive visual interface.
Join this one-hour live session (with Q&A) to see how Neo4j’s Graph Technology, combined with Agentic AI, empowers financial institutions, compliance and data teams to map ownership networks, uncover hidden links, and deliver faster, more confident decisions.
You’ll discover:
- How Knowledge Graphs makes it possible to store the complex web of UBO and ownership relationships with potentially billions of data points.
- How Neo4j will enable faster insight into indirect ownership and complex hierarchies.
- How (Agentic) AI systems can reason over connected data in real time.
See how Graph Technology and AI together can modernize your ownership investigations with speed, accuracy, and regulatory confidence.