Common signs include high abandonment after repeated login or application attempts, growing reliance on backup authentication steps, and persistent fraud despite added friction. If customers regularly drop out before completing key actions, the flow is likely too burdensome. If fraud still gets through, the controls are not adding enough assurance to justify the user cost.
How to tell when authentication is getting in the way
When an authentication flow stops balancing security and conversion, the user journey starts to show friction that is no longer justified by a meaningful security gain. The clearest warning signs are rising drop-off during sign-in, repeated retries, more fallback methods than primary authentication, and a gap between added controls and the fraud that still reaches production systems.
A healthy flow should make legitimate access feel predictable, while still resisting account takeover, credential stuffing, phishing, and session abuse. If the path becomes so demanding that good users abandon it, the security design has started to tax the business more than it protects the risk surface.
Where the imbalance shows up in the funnel
The first place to look is the login and registration funnel itself. High abandonment after repeated password entry, OTP requests, device verification prompts, or recovery steps usually means the flow is too costly for normal users. That is especially important when abandonment appears at a specific step rather than across the whole journey, because it points to a control that is creating disproportionate friction.
A second pattern is overuse of backup paths such as SMS codes, help desk resets, email recovery links, or manual review. Those options are sometimes necessary, but if they become the dominant route for legitimate access, the primary flow is not doing enough to earn user trust or complete the task efficiently. The goal is not just to authenticate, but to do it in a way that fits the customer journey and the risk level of the action.
Third, watch for a mismatch between assurance and results. If you have added MFA, step-up checks, device binding, or other friction but fraud and account takeover still persist, the control may be poorly targeted, too easy to bypass, or misaligned with the attack path. MFA Guide is useful here because it shows how attackers bypass weak or poorly implemented authentication, not just how authentication should work in theory.
What these signals usually mean in practice
These symptoms usually point to one of three problems. The first is excess friction, where the flow asks for too many steps too often, especially for low-risk actions. The second is weak step design, where the control exists but is easy to replay, phish, or social-engineer around. The third is poor risk routing, where the same authentication burden is applied to every user and every action instead of reserving stronger checks for higher-risk events.
That is why passwordless and phishing-resistant methods often improve both security and conversion when they are introduced well. NIST SP 800-63 Digital Identity Guidelines is a strong reference point for judging assurance levels, while Passwordless and Passkeys Guide explains why passkeys can reduce user friction while raising resistance to phishing and token theft.
In mature environments, the right question is not whether authentication is strict enough in the abstract, but whether it is strict at the points where compromise would matter. A sign-in flow can feel secure and still fail economically if it applies the heaviest checks to every user regardless of context, or if it pushes too many genuine users into recovery and support channels.
Risk and Threat Considerations
Authentication flows fail when defenders add friction without materially changing attacker cost, or when they leave easy bypass paths in place. That creates a double risk: legitimate users drop out, while attackers continue to exploit weak recovery, legacy login paths, fatigue attacks, token theft, or reused credentials.
Failure mechanism: The flow is either too hard for normal users to complete, or too easy for attackers to defeat through phishing, replay, credential stuffing, MFA fatigue, or recovery abuse. Workforce Identity Security Guide and Identity Provider and SSO Security Guide both cover the control points where sign-in, recovery, and session security commonly break down.
Impact: The business loses conversions, increases support cost, and still absorbs account takeover or fraud risk. In the worst case, the organisation ends up with a flow that is neither secure enough for abuse nor usable enough for growth.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-63, OWASP ASVS and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-63 | Digital Identity Guidelines | Covers assurance levels and authentication strength tradeoffs for sign-in flows. |
| Recommendation — Use assurance guidance to match authentication strength to the risk of the action. | ||
| OWASP ASVS | V6 — Authentication | Directly addresses authentication flow design, strength, and usability impacts. |
| V7 — Session Management | Session handling affects repeated prompts, abandonment, and post-login friction. | |
| Recommendation — Verify authentication requirements against usability and abuse-resistance goals. Check session lifetime and reauthentication rules to avoid unnecessary user friction. | ||
| NIST SP 800-53 Rev 5 | IA-2 — Identification and Authentication (Organizational Users) | Supports the balance between strong user authentication and access usability. |
| IA-5 — Authenticator Management | Covers authenticator lifecycle, recovery, and replacement paths that often drive friction. | |
| Recommendation — Apply user authentication controls that fit the required assurance level. Manage authenticators and recovery paths so they stay usable without weakening assurance. | ||
Practitioner Guidance
What to prioritise: Separate low-risk sign-in from high-risk step-up decisions. If abandonment is rising but fraud is not falling, the first fix is usually better targeting, not more friction.
What to verify: Confirm where users leave the flow, which recovery paths they use, and whether abuse is coming through the primary path or the fallback path. If the fallback path is carrying a large share of legitimate traffic, the control design needs rework.
Common mistake: Treating more prompts as stronger security. A flow that forces repeated challenge-response steps can still be weaker than one that uses a stronger authenticator once and then preserves a trusted session correctly.
Practitioner takeaway: The right balance is reached when authentication raises attacker cost more than it raises user effort, especially on high-value actions; if both friction and fraud remain high, the design is probably failing on both fronts.
Related resources from NHI Mgmt Group
- What are the signs that SSH password authentication is failing as a security control?
- What are the signs that role enforcement is failing in an authentication flow?
- What are the signs that a SAML authentication flow is failing open instead of validating the response properly?
- What are the signs that delegated device authentication is failing in a browser-based access flow?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
