7. Applications to business cases

This final section presents two case studies of the use of AI in corporate fraud prevention.

7.1 Key success factors for a successful approach

The first case is based on open-source research, which we have summarized: the case of Mastercard, a payment services company.

Case study – Illustration in the field of payment security

Mastercard, one of the world's leading payment companies, has stepped up its efforts to combat fraud using advanced artificial intelligence technologies. In 2023 and 2024, the company launched several initiatives to improve fraud detection, reduce false positives and protect consumers as well as financial institutions. This summary presents the main solutions and partnerships...

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Applications to business cases

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page Possible use cases, real-life situations

Conclusion and outlook

Bibliography

(1) - BELMA (O.), DUFOUR (N.) - La diversité des stratégies de lutte anti-fraude. - Face au risque, n° 524, p. 30-32 (2016).
(2) - DUFOUR (N.) - Former à la détection et à la prévention des risques de fraude. Le cas des complémentaires...

Regulations

Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data.

Regulation of the European Parliament and of the Council laying down harmonized rules on artificial intelligence (artificial intelligence legislation) and amending certain Union legislative acts,...