This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
How to address the 6 most common types of fraud in loan applications
Discover effective strategies to combat the most prevalent types of fraud encountered in loan applications. Safeguard your financial transactions with practical insights and expert tips in this comprehensive whitepaper.
Fraud in loan applications poses a significant challenge to lenders, impacting both their operational efficiency and financial stability. According to a LexisNexis study, fraud costs have risen for U.S. and Canadian financial service firms – up 19.6% to 22.4% compared to 2020 – with banks reporting the highest average of $4.36 for every $1 of fraud loss.
Legacy methods for detecting fraud, often reliant on manual verification and traditional risk assessment methods, are proving to be inadequate in the face of evolving fraud techniques.
To proactively mitigate risk and combat fraud, lending institutions are increasingly adopting advanced technologies like machine learning and artificial intelligence. Learn how to address the 6 most common types of fraud in load applications in our whitepaper.
Takeaways
AI-driven automated fraud detection
How Ocrolus detects fraud
The 6 most common types of fraud
Download free whitepaper
*No email required