For Risk and Compliance Teams

Benefits of Graph AI for Fraud Detection

01

Reveal suspicious connections between users

Uncover hidden relationships and activity patterns with a unified 360 degrees customer view

02

Proactively identify new threats with our anomaly detection engine

Pattern recognition allows for better detection of sophisticated fraudulent activities

03

Improve transparency and explainability with clear graphical evidence

Meet the demands of regulators and clients with explainable AI

Case Study

Deploying Network Analytics to Combat Fraud

A retail bank in South East Asia employed machine learning for case prioritization and financial crime risk assessment.

Outcomes

1) Improved employee productivity with less time spent on false positive cases

2) Better detection of indirect relationships and hidden connections

3) New fraud cases are caught automatically without a need to update rules

Already using a graph based approach?

Enhance cooperation with our graph visualization platform

Tableau meets network analytics. Easily import data, draw connections and share your findings across business units.

In Search of a Pre-Transaction Monitoring Solution?

End-to-End Compliance Trails

Move beyond identity verification - prioritise risk cases and improving screening efficiency

Improve Efficiency

Improve Efficiency

70% less manual screening

Accurate

Accurate

Reduce false positives with AI

Explainable

Explainable

Transparent machine learning models

Smart

Smart

Flag anomalous patterns

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