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Detect suspicious activity across your transactions using Machine Learning

 

Configure rules for different behaviors 

 

Define risk scores and prioritize alerts

 

AI detects suspicious activity for you

With which tools?

  • With behavioral modeling

    Together with your business teams, we define rules to distinguish between "normal" and "suspicious" financial transactions, depending on the type of activity.

  • With prioritization of results

    Thanks to a scoring system, suspicious data is classified according to its degree of seriousness. This classification allows your teams to target the most risky cases.

  • With the definition of new fraud patterns

    Thanks to the statistical analysis of the data, our AI is able to detect new fraud patterns, not covered by the rules already in place. You can easily identify them, understand them and adapt your responses accordingly.

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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
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