Expanding a marketplace into Latin America requires more than translating a website; it demands a hyper-localized risk strategy. A one-size-fits-all model from the US or Europe is bound to fail against unique regional challenges, from Pix fraud in Brazil to cash payment risks in Mexico and the "cultural chargeback" phenomenon. This session explores the diverse LatAm risk landscape and demonstrates how leveraging local payment intelligence is the first line of defense. Through a real-world case study, we will show how localizing your strategy can significantly decrease fraud rates while boosting payment approval.

Preventing fraud in the AI world requires a multi-faceted approach. As AI systems become more sophisticated, so do the methods of fraudsters, necessitating robust defense mechanisms. Key strategies include implementing advanced anomaly detection algorithms to identify unusual patterns in real-time, securing AI models against adversarial attacks that could manipulate their outputs, and ensuring data integrity through secure pipelines and validation