Fraud Prevention Engine: how to detect fraud in under 100ms

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For teams building payment products
This webinar is designed for those facing the real challenges of compliance, risk and regulation in fintech and payments across LATAM.
- Product Managers
- Engineers
- Risk & Compliance
- Fintechs
- PayFacs
- Marketplaces
Who presented this webinar
Mathias leads the Engineering team at Akua, where he designs the architecture of the fraud engine and real-time decision systems. He designed and implemented fraud architectures at PedidosYa, Pomelo, and Mercadolibre. In this webinar he presents the AI Fraud Engine: how it's built, what signals it processes, and how it makes decisions in under 100ms.
Celeste is a fraud prevention specialist at Akua, focused on rule strategy, risk signals, and 3DS activation. She also led the Fraud team at Ualá and worked at companies where fraud was a critical vertical such as GetNet (Santander) and Prisma. She will share the fraud prevention team's learnings and how strategy translates into concrete configurations within the engine.
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