How Payments Firms Secure AI While Meeting Regulatory Demands - with Debjit Saha of MoneyGram
From AI in Financial Services Podcast by Daniel Faggella
January 12, 2026 · 23 min
About this episode
Debjit Saha discusses how payments firms can secure AI while meeting regulatory demands.
Today's guest is Debjit Saha, VP of Engineering & Product for Risk & Compliance at MoneyGram. Debjit focuses on building data- and AI-driven controls for fraud, compliance, and payments decisioning. Debjit joins Emerj Editorial Director Matthew DeMello to explore how payments teams can modernize risk and compliance as fraud grows more sophisticated, customer tolerance for friction shrinks, and regulators demand stronger explainability. Debjit also highlights pragmatic steps leaders can take to build credibility quickly—starting with high-impact use cases, designing for auditability, and placing human oversight where it matters most. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast! If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1 .
People in this episode
Host: Matthew DeMello
Guest: Debjit Saha
Topics covered
- AI in financial services
- risk and compliance
- fraud prevention
- payments decisioning
- regulatory demands
Keywords
- AI
- fraud
- compliance
- payments
- risk management
- regulations
- data-driven controls
Mentioned in this episode
Organizations: MoneyGram
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