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10/07/2026 9:22 pm
TL;DR: Fraud in insurance is shifting from opportunistic claims abuse to coordinated, lifecycle-based abuse of synthetic or partially fabricated identities, and traditional manual reviews and static rules are too slow to stop it, according to Seamfix. The governance gap is not better after-the-fact checking, but stronger identity verification and linked decisioning across onboarding, policy issuance, and claims.
NHIMG editorial — based on content published by Seamfix: The Illusion of Control
By the numbers:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys.
- 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.
- 92% of organisations expose NHIs to third parties, raising concerns about supply chain security.
Questions worth separating out
Q: How should insurers handle fraud when synthetic identities move through the full policy lifecycle?
A: Insurers should treat synthetic identity risk as a lifecycle governance issue, not a claims exception.
Q: Why do static fraud rules fail against modern insurance fraud patterns?
A: Static rules fail because they assume known patterns, while modern fraud adapts across providers, timing, and identity combinations.
Q: What do insurers get wrong about claims-stage fraud detection?
A: They often assume the claim is the beginning of the problem, when in reality the identity failure usually happened earlier.
Practitioner guidance
- Move verification upstream Embed identity verification at onboarding and policy issuance so later claims decisions inherit stronger confidence, not uncertainty.
- Link identity signals across the lifecycle Correlate onboarding attributes, policy history, and claims behaviour in one decision path so repeated or coordinated activity can be recognised earlier.
- Reduce manual review dependence Use manual review for edge cases, not as the main detection layer.
What's in the full article
Seamfix's full article covers the operational detail this post intentionally leaves for the source:
- How identity verification is embedded into onboarding, policy management, and claims workflows
- Why interoperable identity infrastructure reduces blind spots across insurers and verification systems
- How real-time checks can surface suspicious patterns before payout decisions are completed
- What a smoother legitimate-customer experience looks like when identity trust is reused across interactions
👉 Read Seamfix's analysis of identity-led fraud prevention in insurance →
Identity-led fraud prevention in insurance: what controls are missing?
Explore further
10/07/2026 9:44 pm
Identity-led fraud detection is replacing claims-led fraud detection. The article shows why the old assumption fails: if fraud is only examined after submission, the control is already late. Identity evidence, behavioural history, and cross-system correlation have to be available before a payout decision is made. That shifts fraud prevention from a review function to a governance function, which is the right place for it. Practitioners should treat identity as the first fraud control, not the last.
A question worth separating out:
Q: Who is accountable when identity verification gaps allow fraudulent payouts?
A: Accountability should sit with the teams that own identity assurance, policy controls, and claims decisioning together, not only with the reviewers who see the final claim. If the organisation cannot prove that identity was validated consistently across the lifecycle, it has a governance gap, not just a fraud event.
👉 Read our full editorial: Identity-led fraud prevention is exposing insurance control gaps
