Blog > Outsmarting Scammers: How Cutting-Edge AI Shields Lenders from Evolving Fraud Tactics

Outsmarting Scammers: How Cutting-Edge AI Shields Lenders from Evolving Fraud Tactics


FundMore | December 12, 2023

In the rapidly evolving landscape of the financial industry, adopting advanced technologies like AI is a double-edged sword. While these tools offer significant benefits, they open new avenues for sophisticated fraud.

Fraud in the real estate sector continues to be a significant challenge. CoreLogic’s 2023 Mortgage Fraud Report shows a noticeable rise in fraud risk across various segments of mortgage transactions since Q2 2022. Specifically, 2- to 4-unit purchases saw an increase of 23%, 2- to 4-unit refinances went up by 20%, jumbo refinances by 7%, and jumbo purchases by 3%. It was estimated that around 0.75% of all mortgage applications in the second quarter of 2023 contained some form of fraud, translating to approximately 1 in 134 applications​​.

While there was a 7.5% year-over-year decrease in fraud risk by the end of the second quarter of 2023, this decline is partially attributed to the recalibration of the scoring model used in the first quarter of the year​​. Before this, the annual 2021 Mortgage Fraud Report by CoreLogic showed a 37.2% year-over-year increase in fraud risk at the end of the second quarter of 2021​​.

Additionally, cybersecurity threats, including financially motivated ransomware attacks, have placed financial institutions at an increased risk. The percentage of organizations affected by ransomware rose from 79% to 87% in 2023, marking the highest proportion of data breaches in the financial services industry since 2018​​. Furthermore, fraud was most prevalent in purchase mortgage applications, with one occurrence in every 90 applications, a 40% year-over-year increase​​.

The use of AI and technology platforms for malicious activities has become more prevalent, with fraudsters employing tools like chatGPT to mimic voices and spoof phone numbers, making their schemes more convincing​​. Seller impersonation fraud, mainly targeting vacant or unimproved properties, has also seen an uptick. Scammers create fake government-issued documents and dupe real estate agents and title companies, sometimes leading to significant financial and legal ramifications​​.

These developments compel industry players, including title settlement companies, mortgage lenders, and attorneys, to reevaluate even the most trusted elements of the transaction process. For instance, the authenticity of voicemails and physical documentation is now under scrutiny.

In the face of escalating cases of mortgage fraud, lenders are increasingly recognizing the necessity of employing AI technology to fortify their defenses. AI-driven platforms like FundMore offer a proactive approach to identifying and mitigating fraudulent activities. By leveraging advanced analytics, machine learning algorithms, and pattern recognition, these advanced tools efficiently scan vast amounts of loan application data to detect irregularities, inconsistencies, and suspicious patterns that human auditors might overlook.

This not only enhances the accuracy of fraud detection but also significantly speeds up the process, allowing lenders to address potential threats swiftly. In an industry where the speed and accuracy of decision-making can have substantial financial implications, incorporating AI technology becomes not just an option but a critical component in safeguarding the integrity of mortgage lending operations.

With its focus on automation and efficiency, FundMore’s advanced Loan Origination System (LOS) plays a central role in enhancing security and fraud prevention in the mortgage process. By integrating sophisticated AI tools and analytics, FundMore’s platform can assist lenders in detecting anomalies and red flags early in the loan application process. This proactive stance towards security, combined with FundMore’s commitment to streamlining the mortgage lending process, positions it as a valuable ally in the fight against evolving financial fraud.


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