Fuzzy Logic represents expert knowledge

As the world's first fraud-prevention system, RiskShield uses Fuzzy Logic – accepted as the best mathematical theory to represent (fuzzy) human expert knowledge. RiskShield thus offers your experts the possibility to feed the system with fraud-prevention rules in everyday language and with the aid of graphic editors. Fraud-prevention rules can thus be defined very easily, for example: „In the case of damage to a car following an accident, a new contract in combination with a relatively young male driver tends to be conspicuous.“

Evaluation of historical data

RiskShield saves the history of reported claims for each policyholder and uses this history in the fraud-prevention rules.

Easy integration

In general, RiskShield can be integrated into the technical organisation of an insurance company relatively easily: RiskShield takes ad hoc decision based on the existing data, i.e. normal claim processing is not delayed.

High transparency

Unlike most of the other fraud prevention systems, RiskShield can also provide a reason for the risk assessment on request.

Short reaction times to new fraud patterns

Your experts (or on request the experts from INFORM or an INFORM partner) use the RiskShield client to evaluate new rules against new fraud patterns. The effects of new rules can initially be tested on the basis of older insurance claims before they are sent into production with only one click – with no downtime of the RiskShield decision server.

Fuzzy Logic represents expert knowledge

Productinformation

ProductinformationRiskShield decision components are used in more than 25 insurance portfolios in Europe and North America for automatic claim evaluation and fraud risk assessment.
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