Graph-Powered Fraud Detection for Financial Services

Join us for the next SurrealDB meetup in London:

Graph-Powered Fraud Detection for Financial Services

How do you detect suspicious activity across seemingly unrelated transactions?

Join us at the next SurrealDB London Meetup for a deep dive into how graph and vector capabilities can help financial institutions spot transaction fraud rings, surface anomalous behaviours, and enhance fraud detection efforts.

In this session, you’ll learn:

• How to model financial transactions and entities using SurrealDB’s graph features
• How a multi-model structure enhances pattern detection and fraud analysis
• Why these capabilities matter in real-world FinServ systems

Whether you’re working in fraud detection, anti-money laundering, risk analysis or data architecture, this meetup is built to equip you with ideas and tools for building smarter, more connected systems.

Drinks and networking after the talk — we hope to see you there!

Agenda

• 6:30 PM — Arrival drinks, pizza & networking
• 7:00 PM — Graph-Powered Fraud Detection for Financial Services
• 7:30 PM — Drinks & networking
• 8:00PM — Panel discussion and Q&A
• 9:00 PM — End of event

New to SurrealDB?

SurrealDB is a scalable multi-model database that allows users and developers to focus on building their applications rather than architecting and managing their infrastructure. SurrealDB allows users to use schema-less and schema-full data patterns effortlessly, with the ability to operate like a relational database with SQL (albeit without the JOINs), but with the same advanced functionality as the best NoSQL document and graph databases. SurrealDB was designed to enable users to build modern real-time applications effortlessly - with the ability to query right from Chrome, Edge, or Safari, removing the need for complicated database backends and APIs - with advanced row-by-row security and access permissions handled right within the database itself.

Check out Fireship's SurrealDB in 100 seconds video 👇