Read this if you are responsible for your bank’s fraud risk management.
Fraud in the banking industry is a persistent and evolving threat that has significant implications for financial institutions and their customers. As technology advances, so do the methods employed by fraudsters, making it crucial for banks to stay vigilant and proactive in their fraud prevention efforts. This article explores the current trends in banking fraud, highlighting traditional schemes, emerging threats, and effective preventive measures.
Introduction to banking fraud
Banking fraud is the illegal act of deceiving a financial institution or its customers for financial gain. This type of fraud has been a significant problem for centuries, impacting the banking sector in various ways. The consequences of banking fraud can be severe, including financial losses, damaged reputations, and legal repercussions. Moreover, it can erode trust in the banking system and affect the overall economy.
Traditional banking fraud schemes
One of the oldest and most common forms of banking fraud is check fraud. Despite the decline in the use of checks, they remain a prevalent payment method, making them a target for fraudsters. Check fraud can take several forms, including forgery, alteration, and counterfeiting. For instance, check washing involves stealing a check, erasing the original details, and altering the payee name and amount before cashing it. Another method is creating counterfeit checks using real account numbers but depositing them under fake identities.
The statistics are alarming. In 2022, there were 680,000 reports of check fraud, nearly double the number reported in 2021. The surge in mail-theft-related check fraud has also been significant, with a 161% increase in mail theft complaints from March 2020 to February 2021. Criminals have even resorted to armed robberies of postal carriers to obtain master keys that open mailboxes, providing easy access to checks.
Emerging banking fraud trends for 2025
As technology evolves, so do the methods employed by fraudsters. Identity theft and synthetic identity fraud are two emerging trends that pose significant threats to the banking industry. Identity theft involves stealing someone's personal information to obtain credit or other financial benefits, while synthetic identity fraud involves creating a fictitious identity using a combination of real and fake information. Both types of fraud can have serious consequences for victims, including financial losses and damage to their credit scores.
Phishing and social engineering attacks are also on the rise. Phishing attacks use email, messaging, or other means to trick individuals into divulging sensitive information, such as passwords or credit card numbers. Spear phishing attacks are more targeted, using personal information to make the attack seem more legitimate. Social engineering attacks manipulate individuals psychologically to obtain sensitive information.
The rise of artificial intelligence (AI) has introduced new dimensions to banking fraud. Fraudsters use AI-driven techniques, such as deep learning and natural language processing, to perpetrate fraud, including phishing and account takeover attacks. For example, deepfakes, a form of AI-generated media, can impersonate individuals and trick employees into transferring funds. In January 2024, a Hong Kong-based firm lost $25 million to fraudsters who used deepfake technology to impersonate the firm's chief financial officer on a video call.
Banking fraud: Preventive measures and detection techniques
Preventing and detecting banking fraud requires a multi-faceted approach. Traditional methods, such as signature verification and positive pay, remain effective in combating check fraud. Positive pay involves companies informing their bank about issued checks ahead of time, allowing the bank to verify the checks before processing them. Fraud detection software, which uses algorithms to analyze check data and identify potential instances of fraud, is also a valuable tool.
For emerging fraud trends, constant training and testing are essential. Periodic self-study trainings and fake phishing emails can help keep fraud red flags front of mind for employees. Acknowledging and celebrating individuals who follow bank policies and prevent fraudulent activity can also reinforce good practices.
AI-powered analytics tools can analyze large amounts of data and identify patterns and anomalies that may indicate fraudulent activity. Some banks are already using AI to automate fraud detection processes and send investigations to the appropriate teams. For instance, JPMorgan uses large language models to detect signs of fraud in email compromises, while Mastercard's Decision Intelligence tool scans a trillion data points to predict if a transaction is genuine.
Banking fraud is a complex and evolving challenge that requires continuous vigilance and adaptation. By understanding traditional fraud schemes and emerging trends, financial institutions can implement effective preventive measures and detection techniques to protect themselves and their customers. As fraudsters become more sophisticated, the banking industry must leverage technology, such as AI, to stay one step ahead and ensure the security and integrity of the financial system. As always, please don’t hesitate to reach out to the BerryDunn financial services team should you have any questions.