Fraud Detection EU

Graph analytics and machine learning surface suspicious networks and behaviors in real time, reducing false positives and investigator workload across financial operations.

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Overview

Combining graph features with ML improved precision and surfaced coordinated activity undetected by rule‑based systems.

Approach

Entity resolution and graph construction
Feature engineering and model training
Triage tooling and feedback loop

Results

28% fewer false positives; 22% better precision