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10/06/2026 10:42 pm
TL;DR: Fintech leaders at Money20/20 Europe say borderless fraud now demands early control design, continuous cross-team coordination, and AI-driven risk governance to preserve customer experience, according to SumSub. The governance gap is no longer detection alone, but whether fraud controls are embedded early enough to keep pace with partner risk and evolving attack patterns.
NHIMG editorial — based on content published by SumSub: What the Fraud? episode 2 from Money20/20 Europe in Amsterdam
Questions worth separating out
Q: How should fintech teams embed fraud controls without creating too much customer friction?
A: They should move from blanket friction to contextual control.
Q: Why do borderless fraud tactics require cross-team governance?
A: Because attackers exploit seams between product, fraud, security, compliance, and partner operations.
Q: How do teams know if AI-driven fraud detection is actually helping?
A: Look for reduced false positives, faster review times, and measurable improvement in stopping high-risk activity before authorisation.
Practitioner guidance
- Move fraud controls upstream Place risk checks at onboarding, authentication, and transaction-authorisation points so suspicious activity is stopped before value moves.
- Define shared escalation paths Create one operating model for fraud, IAM, security, compliance, and partner management so alerts, thresholds, and response ownership are not fragmented across teams.
- Govern AI-assisted fraud decisions Document model thresholds, review rules, exception handling, and audit requirements for AI-supported fraud detection so automated recommendations remain explainable and challengeable.
What's in the full article
SumSub's full episode covers the operational detail this post intentionally leaves for the source:
- The full conversation with senior fintech leaders on how they tune risk appetite across real-time fraud decisions.
- Specific examples of how AI is being used to improve fraud detection without losing customer trust.
- The role of local partnerships and industry collaboration in reducing cross-border fraud exposure.
- How integrated governance models differ across payments, platforms, and compliance functions.
👉 Read SumSub's What the Fraud? episode on borderless fraud governance →
Borderless fraud controls in fintech: what should teams change?
Explore further
11/06/2026 2:50 am
Fraud governance now sits at the intersection of identity, data, and partner trust. The article shows that the fraud problem is no longer confined to one channel or one control stack. When attackers move across borders, partners, and payment journeys, the real weakness is fragmented governance rather than a single missing tool. Practitioners should treat fraud as a distributed identity problem that crosses organisational boundaries.
A few things that frame the scale:
- 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to The State of Non-Human Identity Security.
- 45% of organisations cite lack of credential rotation as the top cause of NHI-related attacks, ahead of inadequate monitoring and logging at 37%.
A question worth separating out:
Q: Who should own fraud governance when partner ecosystems are involved?
A: Ownership should be shared across fraud, risk, security, compliance, and the business teams that manage the partner relationship. External dependencies change the control surface, so no single function can govern borderless fraud alone. Clear accountability for partner-risk signals is essential.
👉 Read our full editorial: Fintech fraud governance depends on early controls and AI oversight
