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10/07/2026 9:27 pm
TL;DR: Insurance fraud is being enabled earlier in the lifecycle, where customer identity is established and maintained, because fragmented records, inconsistent verification, and siloed claims intelligence make the same actor harder to detect across insurers, according to Seamfix. The governance problem is not stronger claims review alone, but the absence of shared identity infrastructure that can enforce trust across the market.
NHIMG editorial — based on content published by Seamfix: Insurance Fraud Is Often Treated as a Claims Problem. It Is Actually an Identity Problem
By the numbers:
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
- Only 5.7% of organisations have full visibility into their service accounts.
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys.
Questions worth separating out
Q: What fails when insurance identity verification is fragmented across providers?
A: Fragmented verification allows the same customer or business to appear differently across insurers, which breaks correlation and weakens repeat-actor detection.
Q: Why does weak onboarding create bigger fraud risk than claims review alone?
A: Onboarding is where the market decides whether an identity is credible enough to participate.
Q: How can insurers know whether identity controls are actually reducing fraud?
A: They should measure duplicate-record rates, repeat-actor detection across organisations, and the time between suspicious identity signals and enforcement action.
Practitioner guidance
- Standardise identity assurance thresholds across onboarding Define minimum evidence requirements for individuals and corporate entities, then apply the same assurance level across all entry points.
- Implement cross-organisation identity matching Use deterministic and probabilistic matching to link repeat actors, duplicate records, and variant identities across insurers.
- Build shared fraud intelligence into governance workflows Treat blacklists, duplicate-identity indicators, and suspicious behaviour patterns as shared control inputs rather than isolated case notes.
What's in the full article
Seamfix's full article covers the operational detail this post intentionally leaves for the source:
- How InsureGov links verified participants, policy activity, and compliance oversight across the ecosystem
- The specific shared identity and supervision functions used to reduce duplicate records and suspicious identity behaviour
- Why the model is designed to work alongside existing insurer systems rather than replace them
- How regulatory visibility changes when supervisors move from delayed reporting to centralized market activity
👉 Read Seamfix's analysis of insurance fraud as an identity problem →
Insurance identity fragmentation: why fraud controls fail upstream?
Explore further
10/07/2026 9:49 pm
Fragmented identity is the real fraud multiplier: when insurers operate from different records and inconsistent verification standards, the market loses the ability to recognise repeat actors. That is not just an operational inconvenience. It is a governance failure that turns fraud prevention into a local exercise and leaves ecosystem risk unmanaged. Practitioners should treat identity coherence as a control objective, not an administrative preference.
A question worth separating out:
Q: Who is accountable when fraud prevention depends on shared identity infrastructure?
A: Accountability sits with both the insurer and the ecosystem operator, because local verification alone cannot enforce market-wide trust. Where regulators or shared platforms exist, they need clear responsibility for evidence standards, reporting timeliness, and cross-participant blocking. Without that, everyone relies on different versions of the truth.
👉 Read our full editorial: Insurance fraud is an identity governance problem, not only claims abuse
