The June 2024 report shows predictive modeling for transactional fraud prevention is evolving rapidly through AI advancements, with vendors focusing on automation to speed model development and enhance governance. Generative AI is seen as a key enabler for improving system performance, aiding fraud teams, and reducing manual workloads, though most uses remain in pilot stages. Regulators are pushing for responsible, explainable AI, prompting a shift toward “white box” models for fairness and transparency. Vendors prioritize model interpretability, but large-scale GenAI deployment remains costly and time-intensive.

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