{"id":3747,"date":"2026-02-27T19:21:43","date_gmt":"2026-02-27T18:21:43","guid":{"rendered":"https:\/\/www.oneytrust.com\/?p=3747"},"modified":"2026-02-27T19:21:44","modified_gmt":"2026-02-27T18:21:44","slug":"ai-act-2026-lutte-contre-la-fraude","status":"publish","type":"post","link":"https:\/\/www.oneytrust.com\/nl\/ai-act-2026-lutte-contre-la-fraude\/","title":{"rendered":"AI Act and Fraud Prevention : why the market must prepare"},"content":{"rendered":"


Find out how Oneytrust is preparing to comply with this new text, which is just as crucial as the GDPR was in its day!<\/p>\n\n\n\n

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  1. The new broad definition of an \u2018AI system\u2019<\/strong><\/li>\n<\/ol>\n\n\n\n

    The text defines an AI system very broadly as a \u2018machine-based system, operating with varying degrees of autonomy, capable of adapting after deployment and which, for explicit or implicit purposes, deduces from data how to generate results (predictions, content, recommendations, decisions) that influence physical or virtual environments\u2019.<\/p>\n\n\n\n

    This broad technological scope is complex to implement operationally, but the market agrees that it encompasses sophisticated approaches such as machine learning (ML), hybrid expert rule + machine learning approaches, and advanced optimisation.<\/p>\n\n\n\n

    With the proliferation of AI use by fraudsters, trusted anti-fraud companies such as Oneytrust will need to further develop their range of AI solutions to power their scoring, behavioural alerting and anomaly analysis engines in order to keep up with the times and identify increasingly sophisticated fraud patterns.<\/p>\n\n\n\n

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    1. Risks: where does fraud detection fit in?<\/strong><\/li>\n<\/ol>\n\n\n\n

      The AI Act classifies certain uses as \u2018high risk\u2019 (critical biometrics, employment, education, access to essential services such as credit scoring, health insurance pricing, etc.). These systems are authorised but must be accompanied by a very sophisticated risk management system and an assessment of their compliance before being placed on the market.<\/p>\n\n\n\n

      One notable exception is that AI used to detect financial fraud is not automatically considered \u2018high risk\u2019. This reduces the direct regulatory burden, but does not remove the expectations of transparency, data quality and human oversight that regulated institutions contractually pass on to their subsidiaries and suppliers (such as Oneytrust).<\/p>\n\n\n\n

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      1. What are the key dates to remember?<\/strong><\/li>\n<\/ol>\n\n\n\n

        The main requirements of the AI Act will come into force in stages. Here are the key dates to remember:<\/p>\n\n\n\n