Identity programmes should define alternative evidence paths instead of treating missing paperwork as a dead end. Acceptable substitutes can include community validation, biometrics, supervised enrolment, or cross-referenced civil records, but only when the policy is explicit and the exception is auditable. The goal is to preserve assurance while preventing exclusion.
Why This Matters for Security Teams
People without formal identity documents are often excluded by systems that assume every applicant can be matched to a birth certificate, passport, or national ID. For security teams, the issue is not only access but assurance: identity programmes must decide how to establish trust when standard evidence is missing. Current guidance suggests treating this as an identity proofing design problem, not a blanket exception.
That distinction matters because exclusion creates operational and safety risks, while over-permissive exception handling creates fraud and account takeover risk. The better model is to define alternative evidence paths, document the decision rules, and apply the same assurance standard consistently across cases. This is aligned with broader identity governance practices in the NIST Cybersecurity Framework 2.0, which emphasises risk-based control design and accountable process ownership.
NHIMG research shows how quickly weak identity controls become enterprise risk: the Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, a reminder that identity decisions must be explicit, not implicit. In practice, many security teams encounter abuse of exception handling only after enrolment shortcuts or manual approvals have already been exploited.
How It Works in Practice
A workable programme separates identity evidence from identity assurance. Instead of requiring one specific document, policy should define acceptable evidence categories and the confidence each one contributes. That may include community attestation, supervised enrolment, biometrics, or cross-checking with civil or institutional records. The key is that the organisation must decide in advance what combinations are sufficient for each risk tier.
Practitioners should use a risk-based proofing model with clear triggers for escalation. Low-risk services may accept a narrower evidence set, while high-risk financial, healthcare, or government workflows may require stronger corroboration. The 52 NHI Breaches Analysis is a useful reminder that weak identity proofing and weak lifecycle controls often compound over time, especially when exceptions are not reviewed.
- Define which evidence sources are acceptable and which are prohibited.
- Assign assurance levels to each evidence type rather than treating all substitutes equally.
- Require supervisor review or trusted third-party validation for high-risk enrolments.
- Log every exception, including who approved it and why.
- Set review and revocation rules so temporary accommodations do not become permanent gaps.
Where possible, use step-up verification for later transactions so the initial enrolment does not carry all future risk. Identity teams should also separate inclusion policy from fraud policy: a person can be included without granting immediate high assurance. These controls tend to break down in distributed, paper-based environments because record quality, local discretion, and inconsistent review standards make assurance hard to measure.
Common Variations and Edge Cases
Tighter proofing often increases enrolment friction and administrative overhead, requiring organisations to balance access against assurance. There is no universal standard for this yet, so best practice is evolving toward documented alternative evidence frameworks rather than one-size-fits-all rules.
Some contexts need special handling. Refugee, displaced, or stateless populations may have fragmentary records but still be vulnerable to exclusion if identity programmes insist on a single source of truth. In those cases, policy should permit supervised enrolment with layered evidence and later uplift to stronger assurance when additional records become available. Conversely, high-impact uses such as benefits disbursement or regulated access may justify stricter thresholds and narrower exception paths.
Programmes should also avoid assuming that biometrics alone solve the problem. Biometrics can help with uniqueness and re-verification, but they do not replace governance around consent, fallback procedures, accessibility, and appeal. The NIST identity and cyber guidance are useful starting points, but local law, privacy constraints, and population context still drive final design choices.
For practitioners, the practical test is simple: can the organisation prove why this person was accepted, what evidence was used, and how long the exception remains valid? If not, the identity programme is relying on discretion instead of assurance.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63, NIST AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OV | Governance and oversight are required for documented exception handling. |
| NIST SP 800-63 | Digital identity proofing guidance applies to alternative evidence and assurance levels. | |
| NIST AI RMF | GOVERN | Risk-based identity decisions need accountable governance and traceability. |
| NIST Zero Trust (SP 800-207) | PL-1 | Zero Trust requires explicit trust decisions, not implicit acceptance of identity claims. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Strong identity assurance parallels the need to inventory and validate identities. |
Treat each enrolment as a verified transaction with least-privilege access by default.
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Reviewed and updated by the NHIMG editorial team on July 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org