5 min read
When embedded finance is built into a platform experience, the platform becomes the medium where onboarding, account setup and payments occur. For a marketplace, that could mean onboarding sellers and paying them without leaving the platform. For a software provider, it could mean helping its customers collect funds, reconcile payments or access credit in the same workflow where they run their business. For an enterprise, it could mean centralizing pay-ins and pay-outs through a single integration, while keeping sensitive account data outside its environment. In each model, the platform is where identity, account and payment decisions happen.
Fraud has always existed in payments. But with the rise of AI and real-time payments, it is no longer whether a bad actor will attempt fraud, it’s whether your business is structurally designed to prevent and absorb fraud attempts without slowing growth.
When it comes to embedded finance, this matters because the boundaries of responsibility move too. As more participants use the platform, fraud becomes harder to spot because each person or entity moves money differently, so there is no single “standard” payment pattern. That distance makes it easier for fraud to go undetected, unless trust capabilities are embedded natively into each step.
Payments fraud is no longer an exception. It’s an operating reality.
76%
of organizations experienced attempted or actual payments fraud in 20251
The good news: Trust and safety doesn’t have to be a tradeoff against conversion, speed or customer experience. When protections are designed into the embedded finance experience itself, platforms can scale revenue, transaction volume and user trust simultaneously.
Today’s technology and payments leaders don’t need a primer on fraud. What’s changed is where and how it strikes: The threat now looks legitimate and moves in real time, landing precisely in the moments embedded finance is built to accelerate.
Three shifts are driving that change:
The real issue is less time and more believable signals, colliding with trust processes that were never designed as part of the product and can't keep up with the velocity of growth.
For those shaping embedded finance strategy, the question isn’t, “Which fraud tools do we buy?” It’s, “Where do we natively embed trust capabilities so they scale with the business instead of slowing it down?”
Onboarding: Confirm legitimacy, not just identity
Account setup: Validate ownership, control and identity
Payment execution: Make trust invisible when risk is low
Embedded finance is a growth engine and risk multiplier at the same time. As users, accounts and payments transaction volumes grow, so does risk.
Scenario A: Faster supplier payments can accelerate fraud
Scenario B: Every new participant expands the surface to defend
Scenario C: Real-time rails compress treasury’s reaction time
Speed and rails are table stakes in embedded finance. The harder part is trust and how it is integrated into the payments flow. When trust controls are stitched together from separate vendors, they sit outside the flow adding friction just as real-time rails demand speed. When those same protections are built natively, they work end-to-end across three moments that matter—onboarding, account creation and payment execution.
Embedded Finance solutions at J.P. Morgan can help protect end-to-end since protections are designed into the payments lifecycle. Trust and safety capabilities are built directly into the full payment lifecycle, rather than being layered in as separate add-ins, helping ensure they all work together and protecting clients from fraud before any payment is even sent.
Read more about our broader view of security, fraud and resilience.
Turn trust into a competitive advantage. Connect with us and discover how you can scale with confidence.
2026 AFP Payments Fraud and Control Survey Report. The Association for Financial Professionals, April 14, 2026
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