Presentation: Real-Time Fraud Detection with Graphs
Location:
- Windsor, 5th flr.
Duration
Day of week:
- Tuesday
Key Takeaways
- Understand how graph technology is being used in finance.
- Hear use cases of detecting fraudulent activity using graph databases.
- Understand the capability of graph technology to help a modern security organization.
Abstract
Finance is awash with data, but much of it is discrete items locked up in silos waiting to be joined up to provide insights. Graph data is different: it's joined by default and oozes domain-specific insight.
In this talk we'll discuss several kinds of fraud common in financial services and see how each naturally decomposes into a straightforward graph use-case. To demonstrate the power of connected data, we'll explore use-cases using Neo4j and the (now open standard) Cypher query language to showcase just how performant, pleasant and powerful graphs can be, and how the fraudsters need to beware!
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