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Start With AI Fraud Then Unlock the Thin-File Market

LATAM  ·  7 min read

Start With AI Fraud Then Unlock the Thin-File Market

Most LATAM banks are targeting AI at the wrong decisions. The ones that identify the right decisions are failing for three consistent reasons. In Brazil, where MED 2.0 enforcement is live and Pix volumes compound the fraud surface monthly, the cost of a failed or misdirected AI programme has never been higher.

12 May 2026 banking AI
The AI Architecture That Stops Pix Fraud Before Settlement

LATAM  ·  7 min read

The AI Architecture That Stops Pix Fraud Before Settlement

MED 2.0 enforcement is active. LGPD requires locally trained models. BCB supervisory expectations are explicit. In LATAM, AI governance is no longer a design preference — it is the mechanism that determines whether a Pix fraud prevention system prevents anything, whether a thin-file credit model can be deployed, and whether the institution compounds its advantage or watches digital-first competitors widen theirs.

12 May 2026 banking AI
Why Pix Made AI Fraud Prevention an Infrastructure Requirement

LATAM  ·  8 min read

Why Pix Made AI Fraud Prevention an Infrastructure Requirement

Brazil built the world's most advanced instant payments infrastructure. In doing so, it created the world's most advanced bank fraud problem. Pix processed 63.4 billion transactions in 2024 on an irrevocable settlement rail — a fraud surface that no rule-based system can adequately cover, and a financial inclusion opportunity that no traditional credit model can serve.

12 May 2026 banking AI