Topic starter
10/07/2026 9:09 pm
TL;DR: The article argues that conventional identity models over-collect personal data, increasing fraud, privacy, and compliance risk while making onboarding and authentication slower, and it points to privacy-preserving approaches such as selective disclosure and zero-knowledge proofs, according to Uniken. The governance shift is not just less data, but tighter control over what is disclosed, retained, and shared across identity journeys.
Editorial analysis by NHI Mgmt Group, based on content published by Uniken: “The future of identity starts with knowing less, not more.”.
Key questions
Q: How should organisations reduce identity data collection without weakening assurance?
A: Start by defining the exact claim needed for each journey, then design verification so only that claim is disclosed and retained.
Q: Why do over-collected identity records increase fraud and privacy risk?
A: Because every extra attribute, copy, and transfer expands the number of places where sensitive data can be misused or compromised.
A: When organisations collect and retain more personal data than necessary, they increase breach impact, compliance burden, and the chance that attackers can abuse exposed information.
Practitioner guidance
- Define minimum-disclosure policies Map each identity transaction to the smallest set of attributes or claims required for approval, onboarding, or step-up verification.
- Reduce identity data retention Review where identity evidence is stored, copied, and shared across journeys, then remove any retention that is not needed for assurance or legal obligation.
- Pilot selective disclosure use cases Start with journeys such as age verification, account recovery, or attribute confirmation where a full identity record is unnecessary.
Bottom line: The article argues that over-collection, not under-collection, is the more common identity governance failure in modern verification journeys.
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10/07/2026 9:32 pm
Privacy-preserving identity is becoming a governance model, not just a technical pattern. The article’s core point is that identity programmes fail when they optimise for data accumulation instead of controlled disclosure. That shift matters because the security question is no longer how much you can collect, but how tightly you can constrain what is seen, stored, and replayed. Practitioners should treat disclosure minimisation as a trust control, not a privacy afterthought.
A question worth separating out:
Q: How do zero-knowledge proofs and selective disclosure fit into IAM strategy?
A: They fit as assurance patterns that let teams confirm a needed property without exposing the full identity record. That is useful when the organisation wants stronger privacy, less data retention, and a cleaner trust boundary across onboarding or authentication. They should be governed as part of identity policy, not added as an afterthought.
👉 Read our full editorial: Privacy-preserving identity shifts security from data collection to trust