Banks and fintechs should treat login as both a security control and a retention lever. The practical goal is to recognise legitimate returning users quickly, then step up only when risk is elevated. Device intelligence, passwordless options, and risk-based challenges can reduce repeated authentication prompts while still helping block account takeover attempts, suspicious device changes, and fraud patterns at the first point of entry.
How to remove friction at login without creating a softer target
For banks and fintechs, the right design principle is to separate routine recognition from step-up verification. Returning users should pass quickly when signals are stable and low risk, but the experience should become stricter when the device, location, behaviour, or transaction context changes in a way that materially increases takeover risk. That keeps security focused where it matters most.
Device intelligence is useful when it improves confidence in a returning session without becoming a blind trust decision. Strong programs combine device binding, behavioural continuity, and session hygiene so the login flow can stay light for familiar users while still reacting when a device is new, emulated, shared, or otherwise inconsistent with prior patterns. Passwordless methods help most when they reduce repeated friction and improve phishing resistance rather than simply replacing one prompt with another.
Risk-based challenges work best when they are selective, explainable, and tied to clear triggers. If the system cannot distinguish a legitimate low-risk session from a suspicious one, teams usually over-challenge everyone, which drives abandonment and can push users toward weaker workarounds. A better model is to make step-up the exception, then tune it using fraud outcomes, false-positive rates, and recovery from denied access.
Where the balance usually fails in practice
The common failure mode is treating authentication as a one-time gate instead of a continuous confidence decision. That leads to repeated prompts for stable users, while high-risk sessions still slip through because the friction is applied too early, too late, or with poor signal quality.
- Over-reliance on password resets or one-size-fits-all MFA creates fatigue and encourages reuse, help-desk bypasses, or abandonment.
- Poor device telemetry can misclassify legitimate users after routine changes such as app updates, browser resets, roaming, or handset replacement.
- Weak step-up design can challenge the user after the attacker has already reached the session, which reduces the value of the control.
For financial services, the login design should be measured against both conversion and abuse resistance. If the flow improves completion rates but increases takeover success, it has failed. If it blocks too aggressively, the business pays in support cost, lost sessions, and customer frustration that can be hard to reverse.
One useful reference point is that NHI Mgmt Group’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges. That statistic is about machine identities, but the lesson transfers cleanly here: if access decisions are too permissive, the control becomes weak; if they are too rigid, users work around it. Good login design keeps the decision adaptive, not merely permissive or punitive.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
CIS Controls v8 and NIST CSF 2.0 set the technical controls, while PCI DSS v4.0 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | Account and Access Control Management — Account and Access Control Management | Login friction directly depends on account access and authentication control hygiene. |
| Recommendation — Apply account access controls to keep login streamlined while enforcing stronger checks on risky access paths. | ||
| NIST CSF 2.0 | PR.AA — Identity Management, Authentication, and Access Control | Balances user authentication with access decisions based on trust and risk. |
| Recommendation — Use PR.AA to make authentication adaptive to user risk without weakening access control. | ||
| PCI DSS v4.0 | 8 — Identify Users and Authenticate Access | Banking and payment login must preserve authentication strength while reducing unnecessary prompts. |
| Recommendation — Implement PCI authentication requirements so reduced friction does not erode login assurance. | ||
Practitioner Guidance
What to prioritise: Start with the highest-friction paths that affect the largest volume of legitimate return visits, then tune step-up controls around the highest-value fraud entry points. In practice, that usually means mobile app login, password reset, device change, and first login after account recovery.
What to verify: Check that risk signals actually correlate with bad outcomes before you relax prompts. Device reputation, velocity, and behavioural stability should all be validated against fraud or account takeover data, not just internal preference for a smoother UX.
Decision rule: If the user is on a known device with stable context, keep the flow minimal; if the device, network, or session pattern changes in a way that affects trust, step up before allowing sensitive actions. Do not defer the challenge until after value transfer or profile changes.
What good looks like: Legitimate repeat users authenticate once and stay productive, while suspicious logins are isolated early and forced through stronger verification. The control should be nearly invisible in low-risk cases and noticeably stricter only when the evidence justifies it.
Practitioner takeaway: The goal is not to eliminate friction everywhere, but to spend it precisely where it reduces takeover risk the most and nowhere else.
Related resources from NHI Mgmt Group
- How should security teams reduce login friction without weakening identity security?
- How can security teams reduce friction without weakening privileged access controls?
- How should retailers reduce login friction without increasing account takeover risk?
- How should hospitals reduce password friction without weakening access security?
