Payment teams should start with a risk-based compliance design. Map current authentication flows, identify where Strong Customer Authentication is already strong enough, and apply exemptions only where transaction risk is low and fraud monitoring is reliable. Combine that with real-time fraud detection, continuous monitoring, and clear customer communication so security improves without adding avoidable friction to legitimate transactions.
Compliance design that reduces checkout friction
PSD3 and PSR compliance should be designed around the payment journey, not bolted onto it as a separate control layer. The practical goal is to make authentication, exemption handling, fraud monitoring, and customer messaging work as one system so the team can keep friction low for legitimate users while still meeting the stronger security expectations that payment regulation is pushing into everyday checkout design.
That usually means treating the checkout as a sequence of decision points. The team should know when the transaction can flow straight through, when a step-up check is justified, and when a failed signal should stop the payment rather than degrade into repeated retries. This is a PCI DSS v4.0 problem in practice as well as a PSD3 and PSR one, because access, authentication, and account controls only help if they are applied proportionately and consistently.
Fraud context also matters. A payment design that is technically compliant but blind to transaction risk will usually create more friction than necessary, because teams compensate by challenging too many customers. Risk-based authentication, clean exemption logic, and fast feedback from monitoring help avoid that pattern. Where financial crime controls intersect with customer due diligence or merchant risk decisions, the compliance stack should also align with broader payment governance such as FATF Recommendations so policy decisions do not drift across teams.
Where friction usually comes from, and how to avoid it
Most unnecessary checkout friction comes from over-applying step-up authentication, using exemptions without reliable fraud telemetry, or letting legacy flow design hide where the customer is actually being challenged. If the team cannot see which transactions are being exempted, challenged, or silently degraded, it will be very hard to tune the experience without creating hidden compliance gaps.
The other common failure mode is over-centralising the decision in one control. A strong fraud model does not replace authentication policy, and a compliant authentication policy does not replace monitoring. Checkout quality depends on the combination: when to challenge, when to trust, and when to intervene after the event. That is why security teams often anchor the control set to an ISMS-style baseline such as ISO/IEC 27001:2022 Information Security Management and its control guidance in ISO/IEC 27002:2022 Information Security Controls, then translate those principles into payment-specific decision rules.
For payment teams, the key operational question is not whether a control exists, but whether it is measurable at checkout. If the team cannot distinguish low-risk exemptions from weak authentication paths, the result is usually either excess friction or excessive acceptance risk, and neither is a good compliance outcome.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 set the technical controls, while PCI DSS v4.0 and ISO/IEC 42001:2023 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| PCI DSS v4.0 | 7 — Restrict Access by Business Need to Know | Checkout controls must limit privileged access to payment and fraud systems. |
| 8 — Identify Users and Authenticate Access | Payment journeys depend on strong customer and admin authentication decisions. | |
| Recommendation — Apply least-privilege access to payment decision systems and operational consoles. Use strong authentication where checkout risk justifies step-up verification. | ||
| NIST CSF 2.0 | PR.AA — Identity Management, Authentication, and Access Control | The question centers on balancing authentication strength with user friction. |
| DE.CM — Continuous Monitoring | Low-friction exemptions depend on reliable fraud and control monitoring. | |
| GV.RM — Risk Management Strategy | PSD3 and PSR implementation requires a risk-based compliance design. | |
| Recommendation — Align authentication policy to transaction risk and user-impact tolerance. Continuously monitor fraud signals and checkout outcomes for control drift. Set exemption and challenge rules according to documented payment risk appetite. | ||
| ISO/IEC 42001:2023 | AI system governance | Use only if fraud scoring or step-up decisions rely on AI-driven controls. |
| Recommendation — Govern AI-assisted fraud decisions with clear accountability and oversight. | ||
Practitioner Guidance
What to prioritise: Build a transaction decision map first, then tune customer-facing steps second. If the team cannot explain why a given payment was challenged, exempted, or allowed through, the process is not yet ready for scale.
What to verify: Check that fraud signals, authentication outcomes, and exemption decisions are logged in a way that supports later review. If a low-friction flow is not auditable, it will be hard to defend during compliance testing or incident review.
Decision rule: If the transaction is low risk and monitoring is strong, prefer a lighter path; if the risk signal is weak or the monitoring gap is material, accept more friction rather than relying on optimistic assumptions.
Practitioner takeaway: The best PSD3 and PSR implementations do not aim to remove friction everywhere, they aim to place friction only where it measurably reduces risk.
Related resources from NHI Mgmt Group
- How should payment organisations implement strong customer authentication without creating unnecessary checkout friction?
- How should Web3 teams implement reusable identity attestations without creating unnecessary friction for users?
- How should ecommerce merchants implement age checks for restricted products without creating unnecessary checkout friction?
- How should compliance teams implement sanctions and PEP screening in customer onboarding without creating avoidable friction?
