Look for higher login completion, fewer password resets, reduced abandonment, and lower takeover signals in the same reporting cycle. If passkey adoption rises but recovery friction or support volume also rises, the programme is not yet stable. Success means both security and customer experience improve together.
Why This Matters for Security Teams
Passkeys should improve customer IAM on two fronts at once: stronger authentication and less friction. If adoption increases but abandonment, recovery volume, or account recovery time also rises, the programme is not delivering business value. The right question is not whether passkeys are enabled, but whether they are changing measurable outcomes across the full login and recovery journey, as reflected in controls for authentication assurance and recovery resilience in NIST SP 800-53 Rev 5 Security and Privacy Controls.
This matters because customer IAM failures rarely show up as a single broken login. They show up as support cost, failed enrolment, confused recovery paths, and account takeover pressure shifting to weaker fallback channels. NHI Management Group research also shows how quickly identity risk becomes operational when secrets and credentials are handled poorly, including TruffleNet BEC Attack — Stolen AWS Credentials and Azure Key Vault privilege escalation exposure. In practice, many security teams discover passkey problems only after recovery queues spike and abandonment has already hurt conversion.
How It Works in Practice
Measure passkey success as a before-and-after shift across the full authentication path, not as a simple enrolment count. Start with baseline metrics for login completion rate, median time to authenticate, password reset volume, recovery success rate, assisted support contacts, and takeover indicators such as unusual recovery attempts or suspicious account changes. Then compare those metrics by cohort: new users, existing users, high-risk users, and users on mobile versus desktop.
Good passkey programmes usually show a pattern: fewer password-based logins, less reliance on one-time codes, lower reset demand, and better completion on repeat visits. To make that visible, combine product analytics with identity telemetry and customer support data. Current guidance suggests passkeys should be paired with hardened fallback paths, because a weak recovery flow can erase the gains from a strong primary login. That aligns with the broader identity assurance posture described in NIST controls for identification, authentication, and recovery.
- Track enrolment, daily use, and successful completion separately.
- Compare passkey users with password-only and mixed-method cohorts.
- Watch recovery events, device-change friction, and help desk tickets.
- Use takeover signals, not just failed logins, as a security outcome.
For operational context, NHI Management Group has reported that only 19.6% of security professionals express strong confidence in their organisation’s ability to securely manage non-human workload identities in the 2024 Non-Human Identity Security Report, which is a useful reminder that authentication changes must be validated with real telemetry, not assumptions. Best practice is to treat passkeys as one control in a broader identity journey, not as proof of maturity on their own. These controls tend to break down when legacy recovery channels remain untouched because users simply route around the passkey path.
Common Variations and Edge Cases
Tighter passkey enforcement often increases recovery overhead, requiring organisations to balance stronger authentication against customer support capacity and device-loss scenarios. That tradeoff is especially visible in accounts that must support shared devices, roaming users, or customers who switch phones frequently. In those cases, the metric that matters most is whether recovery remains faster and safer than password reset, not whether every account becomes passkey-only immediately.
There is no universal standard for this yet, but current guidance suggests treating fallback methods as temporary and measurable, not permanent and invisible. If customers are still relying on SMS, email links, or knowledge-based recovery, the passkey programme may improve the first login but leave takeover exposure intact. That is why identity governance should be reviewed against the broader control intent in The Ultimate Guide to NHIs, even though the use case here is customer IAM rather than workload identities.
Edge cases also matter in regulated or high-risk flows, where step-up authentication, device binding, and fraud checks can mask whether passkeys are actually helping. If passkeys are implemented only for low-risk journeys, the data can look good while the highest-risk accounts remain unchanged. The right interpretation is simple: if customer completion improves, support burden falls, and takeover signals drop in the same reporting cycle, the programme is working.
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, NIST SP 800-63 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA-01 | Passkey success depends on strong authentication outcomes and usable recovery. |
| NIST SP 800-63 | IAL/AAL/FAL | Passkeys affect authentication assurance and recovery pathways in customer IAM. |
| NIST AI RMF | AI/automation in identity telemetry should be assessed for operational and user impact. |
Measure authentication strength and recovery friction together, then tune controls to improve both.
