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Key takeaways

  • For marketplaces, platforms and enterprises embedding payments into their own experiences, AI-enabled impersonation exploits the speed of real-time rails—making fraudulent requests harder to spot and leaving less time to respond
  • When trust is built natively into the payment lifecycle, both platforms and users can help avoid trading protection for speed or conversion
  • The differentiator isn't a single feature, but whether controls operate end-to-end across the full payments lifecycle, making built-in trust a competitive advantage rather than a cost of doing business

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.

What’s changed

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:

  1. Impersonation (e.g., business email compromise): This happens when cybercriminals pretend to be someone you know and ask you to change payment instructions
  2. AI-enabled deception (deepfakes, voice cloning, personalization): AI-driven fraudulent requests are convincing enough to pass human and automated checks
  3. Speed: Irrevocable payment rails compress decision time, so there’s no window to catch fraud after the fact 

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.

 

Three moments where embedded finance needs trust most

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

  • Design onboarding to verify new users based on risk signals
  • Enable step-up authentication when warranted, protecting growth, while deterring bad actors

Account setup: Validate ownership, control and identity

  • Implement robust checks to confirm external bank accounts are real, owned and controllable across all customer types and transaction patterns
  • Don’t assume “looks fine” is safe; require verification for both new and updated payout destinations

Payment execution: Make trust invisible when risk is low

  • Integrate real-time authorization and anomaly detection into the payment flow
  • Use real-time signals to distinguish legitimate transactions from risky ones
  • Implement tokenization capabilities to protect customer payment data 
  • Ensure the safest action is also the easiest, minimizing post-transaction investigations

Where embedded finance and fraud collide: Three high-stakes scenarios

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

  • With modernizing payables (more vendors, faster cycles, fewer manual checks), the risk isn’t only fraudulent invoices; it’s also changes to beneficiary details that look routine until they aren’t. The critical control point is account validation and payee confirmation before payment execution within the platform environment.

Scenario B: Every new participant expands the surface to defend

  • As a platform's ecosystem expands, so does the perimeter the business must defend against fraud and bad actors. Each new seller, contractor or partner introduces new identities, accounts and payment flows to validate. Plus, the business has a responsibility to protect data stemming from payments flows. Success depends on embedding trust throughout the lifecycle, from onboarding to account creation, to tokenization of payments data and payouts, balancing growth, security and operational efficiency.

Scenario C: Real-time rails compress treasury’s reaction time

  • Faster payments leave treasury teams with less time to intervene. Controls bolted on afterward add friction precisely where the platform was built to remove it. Thus, risk decisions must happen inside the flow at the point of execution.

 

Trust isn’t just protection—it’s a growth advantage

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.

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References

1.

2026 AFP Payments Fraud and Control Survey Report. The Association for Financial Professionals, April 14, 2026

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