Webinar: How Graph Technology is Transforming Financial Crime Investigations
Up to $2 trillion is laundered globally each year through complex, hidden networks tied to crimes like tax evasion, corruption, and fraud. Traditional investigative methods—focused on isolated data points—struggle to detect the sophisticated structures fraudsters now use.
Graph technology is changing that.
Neo4j has already proven its impact in uncovering these hidden structures. Investigations like the Pandora Papers have exposed the inner workings of a global shadow economy, revealing how powerful individuals concealed wealth and influence through opaque financial networks.
In this webinar, GraphAware’s Senior Graph Consultant and financial crime expert will demonstrate how graph-based approaches powered by Neo4j uncover Ultimate Beneficial Owners (UBOs), map complex corporate structures, and expose hidden financial flows.
You’ll dive into real-world case studies that reveal the tactics used to obscure UBOs, and see a live demo of GraphAware Hume—an intelligence analytics platform that combines graph databases, AI, and advanced analytics to bring these hidden networks to light.
What you’ll learn:
- How graph technology reveals UBOs and complex financial relationships
- How GraphAware Hume and Neo4j detect hidden ownership structures
- Real-world investigations that exposed financial crime networks
- Why traditional detection tools fall short—and what works instead
- How public institutions are using graphs to increase transparency and fight financial crime
Registration information may be shared with co-presenters or co-sponsors for event purposes. Sponsors may use personal data for their marketing purposes unless attendees opt-out during registration. Sponsors' privacy policies may differ from Neo4j’s.
SPEAKER
Imran Yusuf
