Fraud
208 whitepapers and resources
Fraud
Combatting exaggeration and fraud in household claims
Post, in association with LexisNexis Risk Solutions, recently gathered experts together to discuss why consumers might be motivated to commit household fraud. This article provides a summary of the discussion and highlights how insurers can tackle this issue.
Case study: Re-engineering anti-fraud processes using AI & big data
Fraud is a widespread problem within the European insurance market. This case study highlights how GFT re-engineered anti-fraud processes for an Italian insurance company and increased the rate of fraud detection by 30% and the performance in daily real-time reporting by 40%.
Pandemic pets and insurance
In the UK, 17 million households have pets and the number of pets insured has doubled in the last year. This content sheds light on the latest trends impacting the pet insurance market and the tools available to help pet insurers assess risks whilst also managing customer relationships.
Nine ways insurers can accelerate their digital transformation
This content sheds light on nine ways insurers can accelerate their digital transformation - from creating frictionless consumer experiences to optimising payment handling and reconciliations. Learn how insurers can capture more opportunities across multiple devices, audiences, and channels.
Spotlight application fraud: Ghost busting - email intelligence to help combat application fraud
The rising problem of insurance application fraud and ghost broking activity is putting the insurance market under significant pressure to improve the robustness of identity validation checks. This spotlight focuses on how insurers can leverage email intelligence to help combat application fraud.
Application fraud: Intelligence and a united front bring progress
This spotlight focuses on why application fraud remains a key threat for the insurance industry and how insurers as well as brokers are using the art and data science of counter fraud to make sure honest policyholders do not suffer.
Machine learning - a progressive solution for claims fraud detection
Fraud is both an ever-present threat and growing opportunity for insurers who haven’t yet shifted to a data-driven detection model. This content highlights two key challenges facing counter-fraud teams and how insurers can leverage machine learning for claims fraud detection.
Eight benefits of insurance fraud analytics
Through advanced data technology made possible by digital insurance tools, insurers are finally getting ahead of the criminals executing fraudulent schemes. This blog focuses on the current state of insurance fraud, the evolution of fraud detection and eight benefits of insurance fraud analytics.
Your guide to underwriting and claims insurance fraud
Over the past 18 months, claims and fraud teams have encountered various challenges posed by remote working and rapidly changing operating conditions. This guide sheds light on the latest fraud trends and the smart detection tools available to help insurers stay one step ahead of fraudsters.
IFB & SAS: Beating insurance fraud together - A path to smart fraud intelligence and investigations
IFB and SAS work in partnership to help bring the insurance industry together to share key data and intelligence management for a collective purpose: Tackle fraud and protect genuine customers from fraudsters. Watch this video to find out more.