Hawk has broadened its fraud prevention capabilities in the US with the introduction of an AI-powered check fraud solution designed for banks and credit unions.
The company, known for its AI-driven fraud prevention, AML and screening technology, has unveiled a tool that strengthens protection against altered, forged, or counterfeit cheques at a time when institutions are facing unprecedented fraud pressures.
At the centre of the launch is a blend of AI image forensics and consortium intelligence provided by Mitek, combined with Hawk’s precision analytics and rule management capabilities. By analysing anomalies and visual manipulations that are impossible to detect manually, the tool aims to help institutions stay ahead of fraudsters who now rely heavily on advanced technology to bypass traditional controls. The partnership brings together behavioural analytics and image-level insights to detect even the most subtle attempts at cheque tampering.
Hawk VP of product, fraud Hrishi Talwar said, “Rising AI-enabled crime has created new fraud challenges for U.S. banks. This launch is part of our vision to empower financial institutions with an AI-powered platform where visual, behavioral, and transactional data converge to enable truly contextual detection.”
The launch comes as US regulators warn of a marked surge in cheque fraud. FinCEN data shows that suspicious cheque activity has more than doubled since 2021, highlighting the urgency of updating fraud detection strategies. Hawk’s solution uses explainable AI to surface anomalies such as irregular deposit patterns and rapid post-clearance transfers. By reducing false positives and improving scoring transparency, the product aims to accelerate investigations while reducing friction for legitimate customers.
Mitek VP of digital banking strategy Kerry Cantley said, “Check fraud has been a threat for decades, but modern technology has evolved how fraudsters operate. Together with Hawk, we’re helping financial institutions modernize their defenses with consortium intelligence, turning a legacy challenge into an opportunity for smarter, more adaptive fraud prevention.”
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