Identity Fraud in Insurance: From Applications to Claims
In insurance, identity fraud is climbing at both the application and claims stages, as attackers exploit weak links.
This report is one of five industry deep-dives from The Battle in the Dark, Signicat’s study based on insights from 900 fraud and risk experts across Europe. Get metrics on how sector-specific fraud affects premiums and claims budgets.
Download the insurance identity fraud report to see where exposure is highest.
Download Identity Fraud in Insurance
This report is for you if you...
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Work in fraud, risk, claims or underwriting at an insurer
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Need sector-specific numbers on identity fraud and how it works
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Want to cut losses and leakage without slowing digital journeys
What's inside the insurance report
✔ Fraud trends: Attempts up, successful cases up, with risk highest at login and transaction.
✔ Key fraud tactics: Application fraud, ID forgery and account takeover dominate, with claims fraud and eID abuse rapidly growing.
✔ Business impact: 28% of revenue hit, with fraud indicators in 22% of transactions and 21% of onboardings.
✔ Preparedness: High understanding, mitigation and AI use. 75% say regulation makes the fight harder.
✔ Strategic recommendations: Catch forged documents, secure eID usage, evidence decisions across the policy lifecycle.
A Glimpse at Insurance Numbers
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insurers saw more successful cases
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average revenue impact driven by identity fraud
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say eID systems are targeted
Explore Other Industries
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Banks see 70% more attempts and 64% more successful attacks, with identity fraud hitting 21%+ of revenue as risk shifts from KYC to logins and payments.
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Gaming reports 59% more attempts and 60% more successful attacks, with identity fraud impacting 28.6% of revenue and 48% of cases targeting eID technologies.
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Attempts are up 54% and successes 59%, with identity fraud affecting 17% of revenue and peaking at the transaction stage across rentals, leases and delivery.
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67% of firms report more attempts and 54% more successes, with identity fraud impacting 16% of revenue and half of attacks clustering at the transaction stage.