They do it by designing onboarding and authentication separately but governing them together. That lets teams reduce unnecessary friction for legitimate users while preserving stronger controls where fraud or regulatory exposure is higher. Inclusion succeeds when access paths remain usable without reducing identity confidence.
Why This Matters for Security Teams
Financial inclusion and identity risk collide when onboarding is treated as a single gate. If every user must present the same evidence at the same threshold, legitimate customers are blocked. If controls are loosened too far, fraud, account takeover, synthetic identity abuse, and downstream compliance exposure rise. Current guidance suggests the right balance is not “less security,” but differentiated identity assurance tied to actual risk, channel, and transaction context. NIST’s NIST SP 800-63 Digital Identity Guidelines support this risk-based model.
For NHI Management Group, the same lesson appears in identity operations: broad access and weak lifecycle discipline create avoidable exposure. The Ultimate Guide to NHIs notes that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which shows how quickly poor identity governance turns into business risk. Inclusion succeeds when identity confidence is preserved while the friction is moved to the right place, not removed entirely. In practice, many teams discover this only after fraud losses or false declines have already damaged trust.
How It Works in Practice
The operational pattern is to separate identity proofing, authentication, and authorisation, then govern them together. That means a user can be admitted through a low-friction path, but the system continuously adjusts assurance based on device quality, behaviour, transaction value, location, and regulatory sensitivity. The goal is not universal strictness. The goal is proportional control.
Teams usually implement this through tiered onboarding and step-up verification. Low-risk users may start with minimal friction, while higher-risk cases trigger stronger checks such as document verification, liveness, fraud scoring, or out-of-band confirmation. This mirrors the broader risk-based approach in the NIST SP 800-53 Rev 5 Security and Privacy Controls, where control strength should match threat and impact.
- Use different assurance levels for different journeys, not one fixed onboarding flow.
- Apply adaptive authentication when risk changes, especially during payout, beneficiary changes, or account recovery.
- Keep evidence collection minimal, then request more only when the risk score justifies it.
- Set policy for edge cases such as minors, migrants, thin-file users, and cross-border customers.
- Measure false rejection rate and fraud rate together, because improving one can worsen the other.
Identity confidence also depends on lifecycle controls. The Top 10 NHI Issues shows how weak access hygiene compounds risk once an identity is issued, which is relevant when customer accounts, agents, or partner integrations are provisioned at scale. Best practice is evolving toward continuous governance, not one-time approval. These controls tend to break down when onboarding systems, fraud engines, and compliance workflows operate in separate silos because each team optimises for a different outcome.
Common Variations and Edge Cases
Tighter identity assurance often increases abandonment, review cost, and support load, requiring organisations to balance inclusion against fraud tolerance and regulatory obligation. There is no universal standard for this yet, especially across markets with different document systems, phone penetration, and privacy rules. The practical answer varies by use case.
For example, financial inclusion programs may accept alternative signals such as community references, account history, or stepwise trust building, but those approaches are only appropriate when paired with fraud monitoring and clear escalation paths. In higher-risk products, current guidance suggests using stronger verification earlier, then reducing friction only after trust is earned. That is especially important where payment rights, lending decisions, or regulated transfers are involved.
Another edge case is customer recovery. Inclusion-focused flows often make recovery easier, but recovery is also where attackers exploit weak identity proofing. Teams should therefore apply stronger controls at reset and beneficiary change than they do at low-value browsing or enrollment. NIST’s NIST Cybersecurity Framework 2.0 is useful here because it frames identity as an enterprise governance issue, not just a login problem.
In practice, the hardest environments are high-volume mobile onboarding, cross-border services, and ecosystems that must serve both vulnerable users and fraud-sensitive operations at the same time.
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 and CSA MAESTRO 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 risk-based digital identity assurance and step-up verification. | |
| NIST CSF 2.0 | PR.AC | Identity access management must support both usability and protection. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Credential lifecycle discipline matters when identities are issued at scale. |
| CSA MAESTRO | Governance of autonomous or adaptive systems depends on contextual controls. | |
| NIST AI RMF | Risk management should account for fairness, harms, and trust outcomes. |
Map user journeys to assurance levels and increase proofing only when risk warrants it.
