A common mistake is treating fraud prevention as only a form or workflow problem instead of an identity problem. Teams may add friction without improving assurance, or they may improve sign-in controls while leaving claim submission and account recovery exposed. Effective programmes align verification, authentication, and access governance across the full citizen journey.
Where fraud prevention efforts usually go off track
Public sector fraud controls often fail when teams optimise the front door but do not model the full identity lifecycle behind a claim. If the same person can create an account, reset recovery factors, switch channels, or reuse weak evidence across services, the form may look tighter while the underlying trust decision stays weak.
That is why verification, authentication, and access decisions need to be treated as one control chain, not separate projects. When those controls are designed independently, teams tend to add friction in the wrong place, create exceptions for legitimate citizens, and still leave the highest-value path, claim submission, account recovery, or delegated access, materially exposed.
Strong programmes also distinguish between blocking obvious abuse and proving entitlement. A claim can be technically “authenticated” and still be fraudulent if the account was taken over, the recovery process was weak, or the access path was not bound tightly enough to the claimant, the transaction, and the claim context.
Why workflow fixes are not enough on their own
Fraud teams sometimes assume the problem is purely form design, validation rules, or casework throughput. Those controls matter, but they do not replace identity assurance. The real question is whether the organisation can reliably know who is acting, whether that actor should be trusted for this claim, and whether the access granted at each step matches the risk of the transaction.
This becomes especially important in citizen-facing services where legitimate friction has political and operational cost. Adding more steps can reduce some low-grade abuse, but it can also push real users into bypasses, manual workarounds, or repeated recovery flows that are easier to attack than the original claim process.
Public sector environments also tend to have multiple journeys that converge on the same entitlement decision. If sign-in is strong but recovery is weak, or if a high-assurance identity proofing step is not connected to downstream access rules, fraudsters will look for the gap between those controls rather than the controls themselves.
Practitioner judgement for claim fraud controls
What to prioritise: Start with the claim path that can cause the largest loss if abused, then trace backwards through account creation, recovery, proofing, and delegated access. In fraud programmes, the weakest link is often not the main sign-in page but the recovery or exception path that was never threat-modelled at the same level.
What to verify: Test whether the claimant’s identity state is still the one being used when the claim is submitted, amended, or paid. The practical check is whether a recovered account, shared mailbox, or loosely governed delegated session can still reach the same sensitive action without an equivalent assurance step.
Common mistake: Treating higher friction as a proxy for stronger fraud resistance. If the only improvement is more steps, slower processing, or more prompts, but the access decision is still disconnected from the claim-risk decision, the control is harder to use without being materially safer.
Practitioner takeaway: The goal is not to make every citizen journey harder, it is to make the high-impact parts of the journey harder to impersonate, recover, or delegate without detection.
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, CIS Controls v8 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-1 — Identity Management, Authentication, and Access Control | Claim fraud controls depend on who can access and act on a citizen account. |
| PR.AC-4 — Access Permissions and Authorisations | Fraud prevention hinges on limiting what an authenticated user can do. | |
| GV.RM-01 — Risk Management Strategy | Fraud controls must balance assurance with citizen friction and service impact. | |
| Recommendation — Align claim and recovery flows to identity assurance before granting access. Restrict claim actions to the minimum permissions needed for the verified session. Set fraud-risk thresholds that balance assurance, usability, and service availability. | ||
| CIS Controls v8 | 6.3 — User-Access Provisioning and Deprovisioning | Fraud exposure often persists when recovery and access changes are not governed. |
| Recommendation — Review and revoke account paths that can still reach claim actions. | ||
| NIST SP 800-63 | 3.2 — Identity Proofing | Public sector fraud prevention depends on binding the claimant to a vetted identity. |
| 3.1 — Enrollment and Binding | Fraud can exploit weak binding between a person and the account used to claim. | |
| Recommendation — Require proofing strength that matches the value and sensitivity of the claim. Bind the verified identity to the account and recovery factors before enabling claims. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Secrets and Credential Exposure | Claim platforms are exposed when recovery secrets, tokens, or keys can be abused. |
| NHI-03 — Overprivileged Identities and Access Paths | Fraud becomes easier when a claimant or workflow can do more than it should. | |
| Recommendation — Protect recovery secrets and tokens with the same rigor as primary login credentials. Reduce claim-system privileges to the smallest set needed for each role and journey. | ||
Related resources from NHI Mgmt Group
- What do teams get wrong about signing commits when they try to stop spoofed authorship?
- What do teams get wrong when they use identity claims as access policy?
- What do public-sector teams get wrong about blockchain intelligence?
- What do teams get wrong when they try to automate threat modeling too early?
