Based on recent research conducted by Post in association with CRIF, this spotlight focuses on what the industry can do to improve fraud detection within commercial lines, including data sharing opportunities and better collaboration between insurers and brokers.
Closing the gap between the commercial and personal lines insurance sectors in the battle against fraud is a growing priority. Based on in-depth research, this spotlight focuses on the commercial areas most susceptible to fraud and how commercial insurers can proactively tackle fraud.
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.