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11/07/2026 8:35 pm
TL;DR: Identity management is shifting from static proof toward evidence-based, multi-actor digital chains, while biometric authentication is expanding across banks, border control, healthcare, and civil registry, according to Seamfix. The real governance gap is not the technology itself but enrolment quality, privacy enforcement, and cross-organisational coordination across identity chains.
NHIMG editorial — based on content published by Seamfix: Emerging technologies and trends in identity management
By the numbers:
- 92% of organisations expose NHIs to third parties, raising concerns about supply chain security.
- Only 5.7% of organisations have full visibility into their service accounts.
- 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.
Questions worth separating out
Q: How should organisations govern biometric identity in travel and border systems?
A: Organisations should govern biometric identity as a high-assurance identity control with explicit rules for enrolment, storage, reuse, retention, and revocation.
Q: Why do biometric programmes create risk when enrolment is weak?
A: Weak enrolment creates risk because it bakes error into the identity record from the start.
Q: What do identity teams get wrong about digital identity chains?
A: Teams often assume the chain is trustworthy because each participant is trusted in principle.
Practitioner guidance
- Harden enrolment quality controls Define minimum capture standards for biometric and identity evidence, then test them across devices, locations, and exception flows.
- Map the full identity chain Document every organisation, system, and handoff involved in identity proofing and verification, including where evidence is created, transformed, and consumed.
- Build privacy and retention rules into design Set retention limits, access restrictions, and permitted-use rules for biometric and identity data before deployment.
What's in the full article
Seamfix's full article covers the identity management details this post intentionally leaves at the governance level:
- Discussion of the ten identity-management directions identified at the 2015 Netherlands expert meeting.
- Examples of biometric adoption across banks, law enforcement, border control, healthcare, and civil registry.
- The article's framing of proper biometric enrolment as the main challenge in making authentication routine.
- The source's own view on how regulators and organisations can harmonise identity management practices.
👉 Read Seamfix's article on biometric authentication and future identity management →
Biometric enrolment quality: what identity teams need to fix now?
Explore further
11/07/2026 9:02 pm
Biometric identity programmes fail first at governance, not at matching accuracy. The article focuses on biometrics as a reliable and fast identity method, but the operational reality is that enrolment quality, evidence provenance, and lifecycle control determine whether the system can be trusted. In IAM and identity verification, accuracy metrics are not enough if the upstream identity proofing process is inconsistent. Practitioner conclusion: treat enrolment assurance as the primary control surface.
A question worth separating out:
Q: How do privacy requirements affect biometric identity governance?
A: Privacy requirements shape what biometric and identity data can be collected, retained, shared, and reused. If those rules are not designed in from the start, the organisation may create an identity system that is technically functional but operationally unacceptable. Good governance aligns privacy controls with assurance controls, not after the fact.
👉 Read our full editorial: Biometric identity management still fails at enrolment quality
