Social engineering fraud tends to fall into three main categories, each of which can harm a business’s balance sheet and reputation. This article highlights the different types of social engineering fraud and three steps businesses can take to mitigate the risk of big losses.
This short article focuses on three types of artificial intelligence that can be leveraged by insurance companies to analyse images in a STP environment in order to validate claims and check for fraud.
As the UK healthcare insurance market continues to grow, so too does the risk of healthcare insurance fraud. Produced by CRIF, this report sheds light on the common types of healthcare fraud, typical frauds impacting the NHS, and recent fraud trends and cases in the UK.
Within insurance, one of the recent trends to emerge can be categorised as the development of ‘on demand’ or ‘micro-duration’ insurance. This whitepaper studies how insurers are reacting to changing consumer needs and the impact upon claims management and counter-fraud activities.
As companies and IT departments become more sophisticated in recognising scams, thieves are upping the ante. This article sheds light on what social engineering fraud looks like in 2018, prevention strategies in place and what to look for when seeking insurance cover for social engineering theft.
In this blog post, Keith Stonell, Managing director of EMEA at Guidewire looks at how insurers are transforming the industry by investing in predictive analytics and machine learning to improve customer experience, whilst cutting claims handling time and costs, and eliminating fraud.
Diving together into the information pool: Are insurers putting the power of contributory databases to good use?
This report explores the views held by personal motor insurers covering their perceptions of the benefits contributory databases give, or could give, to their organisations.
In the property and casualty sector alone, insurance fraud related losses are estimated to be over £20 billion per year. This paper is dedicated to demonstrate how and why advanced analytics can assist in identifying and decreasing the number of fraudulent claims.
This article aims to explain how the GDPR will impact on the insurance industry and the key challenges in fighting fraud once the regime comes into force in May 2018. The article sheds light on key industry concerns in relation to counter fraud data and the increasing value of ID verification.
Technology has reshaped the threat landscape for households. This whitepaper sheds light on why cyber protection is critical to help families offset the costs of cyber crime, three key issues that cyber cover must address and the essential components of a good product mix.