67% of institutions said resources and team capacity were the main hurdles keeping them from prioritizing check fraud defense
Fraud teams are often overwhelmed by the volume of checks and other transaction types that need their attention. One way to alleviate the burden of manual processes is to leverage artificial intelligence (AI) and machine learning (ML) to automate and enhance check fraud detection. AI and ML can help institutions analyze large volumes of data, identify patterns and anomalies, and flag potential fraud cases in real-time. By using AI and ML, fraud teams can reduce false positives, increase accuracy, and save time and money on manual reviews. Other tech advancements, such as the ability to text customers to confirm unusual transactions, can also make fraud teams’ lives easier.
If staff capacity is a barrier to better prevention at your financial institution, consider upgrading your technology and investing in more streamlined, efficient processes for your fraud department. Comprehensive platforms like Abrigo Fraud Detection can also help improve workflows, which saves time, increases efficiency, and helps staff prioritize higher-risk activities.
76% of institutions said check forgeries and counterfeits impacted their organizations most in 2023
Fraud counterfeit and forgery methods have improved along with technology, and financial institutions' detection methods need to be able to keep up. Emerging technologies such as AI and ML can help by quickly identifying patterns and anomalies that detect check fraud. These tools have the potential to revolutionize check fraud prevention by analyzing large amounts of historical and real-time data, AI and machine learning can identify patterns and anomalies that indicate possible fraud, such as unusual check amounts, locations, or frequencies. AI and machine learning can also use image analysis and natural language processing to verify the authenticity and consistency of the check images and text, such as signatures, dates, payees, and amounts