Because they move identity proof from central data collection into selective disclosure. That reduces unnecessary storage, but it also forces IAM teams to decide what the verifier may ask for, what it may retain, and how much assurance is sufficient for the transaction.
Why This Matters for Security Teams
Digital credentials change privacy and IAM design at the same time because they replace broad identity collection with selective disclosure, but they also introduce new policy decisions about trust, retention, and proof. That shifts the problem from simply “who is the user” to “what is the minimum claim needed for this transaction, and who may see it later.” This matters because privacy risk drops only if IAM stops asking for unnecessary data.
The design tension is familiar in regulated environments: stronger assurance can tempt teams to collect more attributes than the transaction really needs. Current guidance from the NIST SP 800-63 Digital Identity Guidelines supports proofing and assurance proportional to risk, while privacy-centric patterns aim to limit correlation and retention. NHIMG has documented how overcollection and secret sprawl can expand exposure in practice, including the Guide to the Secret Sprawl Challenge.
In practice, many security teams discover that a credential designed for privacy still creates a new data sink once logs, claims, and verification artifacts accumulate across systems.
How It Works in Practice
In a modern IAM flow, a digital credential can prove a claim without forcing the holder to reveal the full underlying identity record. That changes design in three places: the issuer, the verifier, and the audit layer. The issuer must define which claims are necessary. The verifier must decide which claims it is entitled to request. The audit layer must decide what gets retained and for how long.
For security teams, the practical goal is to reduce unnecessary disclosure while preserving sufficient assurance for access decisions. That usually means:
- Requesting only the attribute or assertion needed for the transaction, not a full profile.
- Separating authentication strength from application authorization so the verifier does not infer more than it needs.
- Applying retention limits to proofs, logs, and cached claims so privacy gains are not lost after verification.
- Using policy to control which verifiers may ask for high-sensitivity attributes and under what conditions.
This is where IAM and privacy collide operationally. The OWASP Non-Human Identity Top 10 is useful here because it highlights the consequences of overbroad trust and weak control of identity material, even when the identity is not human. On the privacy side, the EU General Data Protection Regulation (GDPR) reinforces data minimisation and purpose limitation, both of which are directly relevant to credential design.
NHIMG research on Ultimate Guide to NHIs — Static vs Dynamic Secrets also shows why static, reusable identity material is a poor fit for environments that need both lower exposure and stronger control. The same principle applies to digital credentials: the more reusable the proof artifact, the more carefully it must be governed.
These controls tend to break down when multiple verifiers independently cache claims or when legacy applications require full-identity fields because they cannot consume selective disclosure formats.
Common Variations and Edge Cases
Tighter disclosure control often increases integration effort, requiring organisations to balance privacy gains against verifier compatibility, auditability, and user experience. There is no universal standard for this yet, so implementation choices vary by regulatory pressure and application risk.
One common edge case is federation. If a digital credential moves across domains, each verifier may have different expectations about assurance and retention. Another is step-up access, where a low-risk transaction can use minimal claims but a high-risk one may need stronger proof or additional attributes. In both cases, the IAM team has to define when extra disclosure is justified and who approves it.
This is also where privacy and security policy can conflict. A privacy team may want fewer attributes and shorter retention, while an IAM team may want more context for fraud detection, troubleshooting, or account recovery. The best practice is evolving toward context-aware request policies and explicit purpose statements rather than blanket data collection. For practical governance, the NIST SP 800-53 Rev 5 Security and Privacy Controls provides a control baseline for limiting access, retention, and audit exposure.
NHIMG’s IOS app secrets leakage report is a reminder that privacy failures often come from implementation details, not just policy intent.
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 SP 800-63, NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-63 | Defines proportional identity assurance and attribute minimization for digital credentials. | |
| NIST CSF 2.0 | PR.AC-1 | Supports identity and credential governance through controlled access decisions. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Addresses credential exposure risks when digital proofs or secrets are reused too broadly. |
| NIST AI RMF | Provides governance context for risk-based decisions about data minimisation and trust. |
Use only the claims and assurance level required for the transaction and avoid collecting excess identity data.
