
Insurance fraud is no longer a series of isolated, opportunistic claims. It is increasingly organised, repeatable, and designed to scale across connected ecosystems of claimants, service providers, assets, and intermediaries that can appear legitimate in isolation.
That shift creates real operational pressure. High claim volumes and broad rules-based alerting can generate large amounts of low-quality signal, while relevant data is often fragmented across claims, policy, customer, and third-party sources. The challenge is growing as digital channels expand the attack surface and generative AI makes it easier to produce convincing supporting evidence at scale. At the same time, identity-driven fraud, including synthetic identities built from real and fabricated data, is becoming a persistent concern.
In our latest article, we explain why insurers need to think in networks, not claims, to uncover shared entities and patterns that indicate organised activity.
Read the full article on our website ->
#i2Group #IntelligenceAmplified
That shift creates real operational pressure. High claim volumes and broad rules-based alerting can generate large amounts of low-quality signal, while relevant data is often fragmented across claims, policy, customer, and third-party sources. The challenge is growing as digital channels expand the attack surface and generative AI makes it easier to produce convincing supporting evidence at scale. At the same time, identity-driven fraud, including synthetic identities built from real and fabricated data, is becoming a persistent concern.
In our latest article, we explain why insurers need to think in networks, not claims, to uncover shared entities and patterns that indicate organised activity.
Read the full article on our website ->
#i2Group #IntelligenceAmplified
Shared byLogan Lim - 10 days ago
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