In the latest Insurance Fraud Survey Report, released Autumn 2024, identity fraud has emerged as the most challenging fraud typology to detect. Notably, 72% of respondents now rank it in their top three most difficult fraud types, a significant increase from 32% last year. This surpasses both professional/organised claims fraud (53%) and opportunistic fraud (44%).
Charlotte Gray, Claims Manager at QBE, highlighted how digital fraud has surged post-Covid and amid the cost-of-living crisis. The decline in physical opportunities for fraud has led to an increase in sophisticated techniques like number spoofing and shallowfakes. Fiona Reeve, Head of Fraud at Ageas, also noted the growing threat of synthetic ID fraud, exacerbated by advancements in AI and the proliferation of phishing attacks. The problem here is that these issues are harder than ever to detect, and insurers are struggling to keep up the pace with fraudsters.
Synthetic ID fraud involves creating fake identities by combining stolen personal data with fabricated details (or entirely fabricated). This form of fraud is challenging to detect and has significant financial repercussions. Over two-thirds (66.7%) of survey respondents view synthetic ID fraud as extremely or very significant, emphasising the difficulty in distinguishing legitimate from synthetic identities and the rapid evolution of fraud techniques.
Here's the unnerving part: these fabricated personas can appear completely genuine, making them incredibly difficult to detect.
Our latest white paper, Synthetic Identity Fraud in the UK, delves deeper into this complex issue. It explores the methods fraudsters use to create these synthetic identities, the types of insurance fraud they commit, and the significant financial impact on insurers and legitimate policyholders.
Synthetic Identity Fraud in the UK goes beyond the surface to explore the intricate methods used by fraudsters to create these synthetic identities.
Discover the various types of insurance fraud they perpetrate, and the substantial financial burden imposed on insurers and legitimate policyholders. Empower your organisation to combat this growing threat by downloading the white paper today.
For a deeper dive into synthetic identity fraud and its impact, be sure to watch Hidden in Plain Sight: Synthetic Identity Fraud – a talk from Trust:Live earlier this year. In this talk, Dr. Jeffrey Feinstein, Global Head of Data Science, and Jonathan Clarke, Head of Data Science, break down the lifecycle of a synthetic ID and the significant disruptions it can cause within industries like insurance.
They explore the increasing sophistication of fraudsters, and the evolving strategies used to stay ahead of traditional detection methods. The video also provides practical insights on detecting synthetic IDs, from identifying key warning signs to understanding how fraudsters manipulate common detection systems.
With the right data and analytics tools, organisations can recognise synthetic identities in near real time, reducing their exposure to fraud.
To tackle the challenges posed by synthetic identity fraud, LexisNexis® Risk Solutions offers several powerful tools:
We proactively monitor synthetic ID hotspots and emerging trends to enhance our detection models, identifying synthetic identities in real time.
If you'd like to learn more or need assistance with anything mentioned in this article, please feel free to get in touch.