Effective fraud detection with Amazon Neptune and KeyLines

Описание: For details on fraud detection, see our website - https://cambridge-intelligence.com/us..., including our popular white paper on fraud management https://info.cambridge-intelligence.c...

Effective fraud detection relies on excellent data insight. To spot trends and reveal suspicious connections, first you need to collect, ingest and analyze data at scale. Graph technologies play a crucial role.

This webinar explores the power of combining KeyLines with the new Amazon Neptune graph database. We’ll see how this pairing creates flexible, scalable and high-performance visual tools to make fraud detection faster, simpler and more robust.

Learn more about Amazon Neptune's integration with our graph visualization toolkits here: https://cambridge-intelligence.com/ke...

In the video, we explore:
why graph databases and graph visualization should be at the core of your fraud detection program
the benefits of the KeyLines graph visualization toolkit and Amazon Neptune graph database, and how easy it is to integrate the two
graph analysis workflows and techniques to drive effective fraud detection

The fraud data visualization challenge
Fraud is an expensive and complicated problem. To detect and investigate it effectively, you need to see connections – between people, accounts, transactions, and dates – and understand complex sequences of events.

That means analyzing a lot of data.
The challenge is complicated further by fraudsters’ fast-changing tactics and strategies. As their crimes become more sophisticated, so too must the analyst’s data visualization and fraud detection tools.

KeyLines integrates seamlessly with Amazon Neptune, making it easier than ever for you to explore and create effective Amazon Neptune visualizations from your fraud detection data.

#frauddetection #AmazonNeptune #KeyLines