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10/06/2026 10:40 pm
TL;DR: Banking leaders at Money20/20 Europe described how AI-driven fraud, embedded finance, cloud infrastructure, and evolving compliance demands are changing the way institutions balance trust with speed, according to SumSub. The identity lesson is that modern financial services now need governance built for continuous risk decisions across human, machine, and platform access.
NHIMG editorial — based on content published by SumSub: an episode of What the Fraud? recorded at Money20/20 Europe in Amsterdam
Questions worth separating out
Q: How should banks connect fraud detection to access control decisions?
A: Banks should feed fraud and behavioural signals into conditional access and transaction controls so identity assurance is not frozen at login.
Q: Why does embedded finance make identity governance harder?
A: Embedded finance introduces delegated access across partner systems, APIs, and service identities, so the institution no longer controls every identity in the trust chain.
Q: What breaks when cloud banking teams treat compliance as a post-deployment task?
A: When compliance is checked after deployment, access shortcuts and privileged paths are already embedded in the platform.
Practitioner guidance
- Tie fraud signals to access decisions Feed behavioural and transaction-risk signals into conditional access policies so high-risk actions can trigger stronger verification before value moves or credit decisions complete.
- Review delegated access in embedded finance journeys Map which partner systems, APIs, and service identities can initiate or approve actions on behalf of the institution, then recertify those rights alongside supplier reviews.
- Shift cloud governance left Require identity and privilege review during platform design, not after deployment, so new banking services do not inherit unmanaged service access or operational shortcuts.
What's in the full article
SumSub's full episode covers the operational detail this post intentionally leaves for the source:
- The individual perspectives from five senior banking and risk leaders across lending, payments, compliance, and platform architecture.
- The practical examples each guest uses to explain how they are balancing innovation speed with fraud resilience and regulatory pressure.
- The broader Money20/20 Europe discussion context, including how modern banking leaders are thinking about embedded finance and cloud infrastructure.
- The source conversation itself, which gives the full nuance behind each leader's view rather than the condensed governance analysis here.
👉 Read SumSub's episode on banking leaders, AI fraud, and embedded finance →
Embedded finance and AI fraud: what it means for IAM teams?
Explore further
11/06/2026 2:48 am
AI fraud is forcing banking identity controls to become continuous rather than event-based. The old model assumed that a successful login or approved workflow was enough to establish trust for the session. That assumption is breaking because fraud actors adapt after authentication, not before it. Practitioners need to treat post-authentication behaviour as part of identity assurance, not just a separate fraud problem.
A few things that frame the scale:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
- Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, according to The 2024 ESG Report: Managing Non-Human Identities.
A question worth separating out:
Q: How do IAM teams support faster lending or payments without weakening trust?
A: IAM teams should align authentication, authorization, and fraud controls with the business action being taken. A low-risk lookup may need minimal friction, while a loan approval, payment release, or privilege change should trigger stronger checks. The goal is not to slow every journey, but to make higher-risk actions carry proportionately stronger assurance.
👉 Read our full editorial: Embedded finance and AI fraud are reshaping banking trust
