Introduction
Organised fraud represents some of the highest-impact risk faced by insurers. Unlike opportunistic fraud, organised fraud involves coordinated activity by multiple participants who reuse assets, identities, and processes to generate repeated losses.
Detecting organised fraud requires a fundamentally different approach.
What Organised Fraud Looks Like
Organised fraud networks may include:
- Multiple claimants
- Coordinated incidents
- Shared vehicles or addresses
- Complicit suppliers
These networks are often designed to appear as unrelated individual claims when viewed in isolation.
Why Organised Fraud Is Hard to Detect
Traditional detection methods focus on individual events, which can obscure broader patterns. Organised fraud thrives in fragmented systems where data and insights are siloed.
Without network-based analysis, these schemes can operate for long periods undetected.
Detecting Organised Fraud
Effective detection combines:
- Network and link analysis
- Entity resolution
- Behavioural analytics
- Investigator insight
This approach allows insurers to surface coordinated behaviour and assess risk holistically.
Long-Term Impact and Deterrence
Successfully addressing organised fraud has a disproportionate impact on loss reduction. Disrupting networks not only stops current schemes but deters future activity by increasing the perceived risk of detection.
Related Topics
