Look for fewer phishing-driven account compromises, lower reliance on password resets, and consistent enrolment success across user groups. Also check whether recovery and device-change scenarios remain controlled, because a passkey programme that works only in the happy path is not mature.
Why This Matters for Security Teams
Passkey adoption only improves security if it measurably reduces the attacks and operational failures that passwords enable. Security teams should watch for phishing-resistant sign-ins, but also for the less visible outcomes: fewer account recovery events, fewer helpdesk resets, and fewer cases where users bypass controls to get back in. The relevant benchmark is not just authentication success, but whether the whole identity journey becomes harder to abuse. NIST’s NIST Cybersecurity Framework 2.0 is useful here because it frames identity as part of governance, protection, detection, and recovery rather than a single login control.
That matters because passkeys can create a false sense of completion. A programme may eliminate password spraying and phishing at the front door, yet still leave weak enrolment checks, unreliable device recovery, or inconsistent support flows that attackers can exploit. NHI Mgmt Group’s Ultimate Guide to NHIs shows how identity programmes often fail when lifecycle controls are treated as secondary, and the same pattern appears in passkey rollouts. In practice, many security teams discover that “secure authentication” still produces insecure outcomes because recovery is where the compromise happens.
How It Works in Practice
Measuring passkey value means separating authentication strength from programme maturity. A strong rollout should show lower phishing-driven compromises, lower password-reset volume, and fewer repeated enrolment failures for the same users or devices. Security teams should segment metrics by workforce type, region, device class, and accessibility needs, because a passkey programme that works for office staff on managed laptops may fail for frontline workers, contractors, or BYOD users.
Operationally, teams should track whether passkeys are bound to trusted devices, whether enrolment requires step-up verification, and whether account recovery is tightly controlled with documented approval paths. This is where identity governance and Zero Trust thinking matter. NIST’s NIST Cybersecurity Framework 2.0 and the broader lifecycle guidance in Ultimate Guide to NHIs both point to the same principle: credentials are only as strong as the controls around issuance, use, rotation, and revocation. For passkeys, that translates into:
- Enrolment success rates by user segment, not just overall adoption.
- Helpdesk reset and recovery frequency after rollout.
- Phishing-related incident counts before and after adoption.
- Device-change and lost-device outcomes, including time to restore access.
- Exceptions where fallback methods remain password-like and therefore weaker.
Security teams should also validate that recovery is not simply a back door to the same risk. If a user can re-register a device with minimal proof, the attack surface may remain close to password-era risk even though the login method has changed. These controls tend to break down in high-churn environments with unmanaged devices and outsourced support because recovery paths become too inconsistent to govern centrally.
Common Variations and Edge Cases
Tighter passkey enforcement often increases support overhead, requiring organisations to balance phishing resistance against user friction and recovery cost. That tradeoff is real, especially where employees lose devices frequently or use a mix of corporate and personal hardware. Current guidance suggests that the safest programme is not necessarily the strictest one, but the one with the most reliable fallback governance.
There is no universal standard for passkey maturity yet, so teams should avoid treating adoption percentage as the success metric. A high adoption rate can hide weak recovery, while a lower rate with strong enrolment controls may be more secure in practice. The same caution appears in NHI programmes: the Ultimate Guide to NHIs emphasises visibility and lifecycle discipline because control quality matters more than nominal coverage. Where business continuity is critical, organisations may need to keep a limited secondary method, but that method should be monitored, time-bound, and regularly reviewed. In regulated or unionised environments, accessibility and recovery obligations can also constrain how aggressively passwords are removed, so progress should be judged by risk reduction, not ideology.
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 CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA-1 | Identity proofing and authentication are central to judging passkey rollout quality. |
| NIST CSF 2.0 | RS.RP-1 | Recovery performance shows whether account restoration stays controlled after rollout. |
| NIST AI RMF | Helps teams evaluate whether security objectives are met across real operational contexts. |
Use AI RMF-style governance thinking to define passkey success metrics, ownership, and continuous monitoring.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
