How can IAM teams tell whether passkey adoption is actually working?

Why This Matters for Security Teams

Passkey adoption is only “working” if it changes security outcomes, not just authentication ceremony. Teams often look for enrollment counts and stop there, but that can hide a weak recovery process, uneven app coverage, or users falling back to phishable methods when a device is lost. The better test is whether password-reset demand drops, phishing-related incidents decline, and login friction falls without creating new help desk bottlenecks. NIST Cybersecurity Framework 2.0 is useful here because it forces the conversation toward measurable outcomes, not just control deployment, and NIST’s guidance on digital identity also helps teams distinguish secure authentication from brittle implementation choices. For NHI Management Group, the same discipline applies to identities that support access at scale: if the control does not reduce real exposure, it is not mature yet. That is why passkey telemetry should be reviewed alongside recovery success, fallback rates, and application coverage, not in isolation. The pattern is similar to secret handling failures documented in Azure Key Vault privilege escalation exposure, where the visible control exists but the operational risk remains. In practice, many security teams discover passkey gaps only after users hit recovery edge cases or phishable fallback paths have already been exercised.

How It Works in Practice

Start by defining adoption as a set of outcome metrics, then track them as a cohort, not a one-time rollout number. A working passkey programme should show a declining share of applications that still accept passwords, fewer password resets, shorter login times, and fewer phishing-driven account takeovers. The recovery flow matters just as much as the primary login path: if device replacement, re-enrolment, or help desk assisted recovery introduces weak verification, attackers will target that path instead of the passkey itself. Current guidance suggests comparing authenticated sessions, fallback method usage, and user support volume before and after deployment so that the team can see whether passkeys are replacing risk or merely adding another login option. NIST Cybersecurity Framework 2.0 is a good measurement anchor, and NIST SP 800-63 remains the clearest reference for identity assurance concepts that still apply when modern authenticators are used. For implementation detail, teams should also review how identity proofing and authenticators are handled in policy and how those decisions align with the actual app estate. Azure Key Vault privilege escalation exposure is a reminder that access architecture often fails at the edges, where operational shortcuts bypass the intended control. A useful internal check is to ask whether every critical application has a passkey path, whether the fallback is equally observable, and whether recovery is strong enough to survive device loss without reverting to phishing-prone factors. Teams can compare that operational picture against NIST Cybersecurity Framework 2.0 and the relevant identity assurance guidance to ensure the programme is reducing exposure, not just adding a new option in the login screen. These controls tend to break down in hybrid estates with legacy SSO, unmanaged devices, and applications that still depend on password-based API or service access because user authentication improves faster than the surrounding access architecture.

• Track password-reset volume before and after rollout, then segment by business unit and application type.
• Measure login completion time and help desk contacts for device replacement, re-enrolment, and recovery.
• Watch for fallback to passwords, SMS, or email-based recovery in high-risk applications.
• Confirm that phishing-related incidents decline in parallel with app coverage, not just after enrollment spikes.

Common Variations and Edge Cases

Tighter passkey enforcement often increases recovery overhead, requiring organisations to balance phishing resistance against operational support load. That tradeoff is real, especially when contractors, shared endpoints, travel-heavy users, or legacy applications are involved. Best practice is evolving here: there is no universal standard for how much fallback is acceptable, but the fallback path should never be easier to abuse than the primary passkey path. Some organisations will show strong adoption on managed devices while still relying on passwords for service desks, third-party portals, or browser environments that do not support the preferred authenticator. In those cases, the headline metric can look healthy even though the underlying risk remains intact. The same lesson appears in Azure Key Vault privilege escalation exposure: a control can be present, but if adjacent access paths remain weak, the exposure persists. For teams benchmarking progress, NIST Cybersecurity Framework 2.0 helps frame whether the programme is truly reducing risk across Identify, Protect, and Detect, not just improving one authentication channel. The practical test is simple: if users can still reach critical systems through easier, weaker paths, the passkey programme is partial, not complete.

Related resources from NHI Mgmt Group

• How can teams tell whether front-channel logout is actually working across applications?
• How can teams tell whether data classification is actually working?
• How can teams tell whether access governance is actually working?
• How do IAM teams know whether cloud least privilege is actually working?