Fraud
202 whitepapers and resources
Fraud
What is really driving the motor industry today?
With trials of driverless car fleets now occupying our national roads, the motor sector is getting an upgrade like never before, whilst new entrants are causing insurers to tighten their seat belts. What is really driving the motor industry today? Michèle Bacchus decided to take a closer look.
Size of social engineering attacks growing
“Social engineering” refers to a variety of methods used to obtain access, data or money through fraud. This short article sheds light on three types of social engineering attacks which are on the rise and the risks facing businesses.
Tackling noise induced hearing loss claims
February 2016 saw the first ‘fundamentally dishonest’ ruling made in relation to a noise induced hearing loss [NIHL] claim. This article highlights the significance of the ruling and offers three top tips for insurers interrogating data related to NIHL claims.
Validating claims with property attribute data
How can insurers apply property attribute data to best effect during the claims process? This article sheds light on how insurers can leverage CRIF’s insurance fraud investigation service to access vital property insights which enable claims investigators to rapidly validate claims and tackle fraud.
Insurance fraud: Let's know our customers and their properties a little better
Misrepresentation at point of quote or sale has arguably been one of the biggest growth areas in insurance fraud. So why is the insurance industry seeing this trend and is it set to get worse? Download this article to find out more.
Making the complex simple: Smart claims fraud detection
Reducing fraud losses is a high priority for insurers, with the market recognising they must contain fraud as a ‘managed risk’. But how can insurers work smartly to detect claims fraud? This article sheds light on how claims fraud indicators can be grouped into four main areas to improve detection.
Pet insurance – A growth opportunity
The UK is renowned as a nation of dog and cat lovers, yet according to the ABI, only 23% of dogs and cats owned by households in the UK are covered by pet insurance. This article highlights how this low penetration represents significant opportunities within the pet insurance sector.
Spotlight motor data: Increasing data use in the van sector
This article focuses on the van insurance sector and how intelligent data usage can help the sector to catch up with developments made in the personal lines space in relation to fraud prevention, pricing and customer service.
Solving pet fraud through data sharing
Pet insurance is a promising market and one that is as exposed to fraud as other sectors. This article highlights why insurers need to approach the opportunities presented by the pet insurance market with caution and why data sharing holds the key to solving pet fraud.
Fraud at the vets
Pet claims fraud is on the rise and insurers are developing or contemplating new tools against it: a database, cross-referencing strategies and pet photographs on policy documents. Download this article to read more about the risk indicators and the consequences of fraud.