How should organisations evaluate centralized storage risks in passwordless identity systems?

Why This Matters for Security Teams

Passwordless systems reduce password theft, but they do not remove identity risk. They shift it into enrollment records, device binding, recovery workflows, and the backend stores that connect those artifacts to a user account. If those stores are centralized, one compromise can expose many identities at once, turning an authentication improvement into a concentration problem. NIST Cybersecurity Framework 2.0 stresses governance and asset awareness, which is exactly where passwordless programmes can fail if the data path is not mapped end to end.

NHI Management Group research shows why this matters operationally: the Ultimate Guide to NHIs reports that 96% of organisations store secrets outside dedicated secrets managers in vulnerable locations, and 73% of vaults are misconfigured. Passwordless identity can inherit the same pattern if recovery tokens, enrollment metadata, or administrative keys are centralized without strict controls. In practice, many security teams discover the blast radius only after a tenant, admin account, or cloud control plane has already been abused, rather than through intentional design review.

How It Works in Practice

Evaluating centralized storage risk starts with identifying every artifact that makes passwordless identity work: biometrics, public keys, device attestation records, recovery codes, federation metadata, and admin override paths. The question is not only whether the primary credential is passwordless, but whether the supporting data is concentrated in one provider, tenant, region, or management account. Centralization is not automatically unsafe, but it changes the failure model and demands stronger isolation, key management, and monitoring.

Security teams should review four practical controls:

• Data minimisation: retain only what is required for enrollment and recovery, and delete stale artifacts promptly.
• Segregation: separate production identity stores from admin tooling, support tooling, and analytics pipelines.
• Encryption and key control: protect data at rest and in transit, and ensure the encryption keys are not co-resident with the protected records.
• Access governance: use least privilege, strong logging, and break-glass procedures for recovery access.

Use the NIST Cybersecurity Framework 2.0 to structure ownership and control testing, then validate the architecture against attack scenarios drawn from 52 NHI Breaches Analysis, where credential concentration and weak governance repeatedly widen impact. The practical test is simple: can one stolen admin session, one cloud outage, or one compromised recovery store affect many users at once? These controls tend to break down in multi-tenant identity platforms where recovery operations, support tooling, and encryption administration are all concentrated under the same operational team.

Common Variations and Edge Cases

Tighter central storage controls often increase operational overhead, so organisations must balance resilience against support complexity and user recovery friction. That tradeoff becomes more visible in regulated environments, high-availability architectures, and enterprises that rely on a single identity provider for workforce and customer access.

Current guidance suggests treating these cases differently:

• Cloud-hosted passwordless systems: validate tenant isolation, provider recovery procedures, and how privileged support access is monitored.
• Hybrid deployments: check whether on-prem enrollment systems replicate sensitive artifacts into less protected directories or backup systems.
• Biometric-backed flows: confirm where templates, not raw biometric data, are stored, and whether the template store is reusable across services.
• Recovery-heavy environments: ensure fallback methods do not become the weakest central repository in the stack.

For deeper NHI governance context, the Top 10 NHI Issues and the Ultimate Guide to NHIs — Key Challenges and Risks show how excessive privilege, poor visibility, and weak offboarding amplify concentration risk. There is no universal standard for this yet, but best practice is evolving toward decentralising sensitive trust anchors where possible and making centralized stores materially harder to abuse.

Related resources from NHI Mgmt Group

• When should organisations require higher identity assurance instead of relying on standard passwordless login?
• How should security teams use identity proofing before granting passwordless access to enterprise systems?
• What breaks when organisations rely on a centralized identity store without strong tamper resistance?
• How should organisations evaluate identity assurance before allowing high-risk transactions or access?