Uncover anomalies and exceptions by processing massive flows of streaming events and contextualizing it against all of your historical data in realtime. Power analytics and machine learning models on integrated production data to identify fraudulent and suspicious behavior. Common deployments include financial crimes detection, insurance fraud, anti-money laundering (AML) and real-time network analysis.

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