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Lynx Launches Next-Generation Fraud Prevention Models
Lynx
Madrid, April 24 2025: Lynx Tech, S.A. (“Lynx” or the “Company”), a leading provider of Artificial Intelligence (AI) software that detects and prevents fraud and financial crimes, today announces the launch of its next generation of its Daily Adaptive Models (DAMs), a fraud detection solution. This significant upgrade marks a pivotal moment in the company’s ongoing mission to protect financial institutions and their customers from increasingly sophisticated fraudulent activities.
With fraud cases rising by 16 percent and fraudsters stealing more than £3 million a day according to UK Finance, it is essential banks are armed with the technology to prevent fraud in real-time. Unlike static Machine Learning (ML) models commonly used in fraud prevention, Lynx’s Daily Adaptive Models combine daily retraining and data extensibility to drive increased fraud savings and reduced friction for financial institutions.
The new models represent a shift from identifying isolated fraudulent transactions to detecting entire fraud networks. By analyzing patterns within these networks, Lynx’s technology enhances its ability to identify complex patterns of fraudulent behavior with high precision.
Looking at the next-generation model in action, as ACI Worldwide predicts global Authorized Push Payment Fraud (APPF) losses will surpass $6.8 billion by 2027, it can identify up to 35% more APPF cases compared to previous Lynx models, according to internal testing. It also significantly improves money mule detection, with some financial institutions reporting notable increases in money mule identification rates.
Lynx’s new models are currently being deployed in markets around the world, with financial institutions in America expected to benefit from the technology first, followed by those in Europe. Due to the no-code nature of the models, integration takes as little as two weeks, enabling the technology to reach its optimal value detection rate within three to six months as it learns from new data.
Unlike traditional static models on the market that suffer from data drift and degradation over time, the technology maintains an optimal value detection rate thanks to Lynx’s proprietary DAMs. These continuously adapt to new fraud patterns without compromising their initial impactful performance, setting a new standard in long-term fraud prevention.
Carlos Santa Cruz, Chief Technology Officer at Lynx, stated: “This breakthrough is the culmination of two years of rigorous research. We’ve developed state-of-the-art in-memory databases, algorithms, and low-level code that make our solution incredibly fast to integrate while keeping costs down and downtime at zero. In internal tests, our technology has demonstrated the ability to analyze up to 40,000 data points in real time to identify fraudulent activities with remarkable precision, representing a quantum leap in detection.”
The upgraded models have demonstrated significant improvements in performance:
- Enhanced understanding of financial behaviors across all accounts connected to a financial institution, leading to a substantial reduction in false positives and an increase in the value detection rate.
- Improved adaptability through DAMS ensuring sustained performance over time and quick responses to new fraud tactics.
- Superior performance compared to static consortium models, particularly in detecting APPF.
Dan Mcloughlin, a financial crime expert and member of the team at Lynx, adds: “The next-generation models will make a big difference in preventing Authorized Push Payment Fraud. We can now spot tricky fraud patterns long before they cause harm. This means we can help banks protect their customers’ money better than ever, staying significantly ahead of sophisticated fraudsters. With the UK’s new APPF reimbursement regulations, it’s imperative that banks embrace emerging technologies such as AI to fortify their fraud detection systems.”
To accompany the launch of its next-generation fraud models, Lynx has published a whitepaper on its Daily Adaptive Model. To read more, please visit https://landing.lynxtech.com/daily-adaptive-model-whitepaper.
About Lynx
Lynx Tech is an AI-driven software company designed to solve clients’ most significant fraud and financial crime challenges. utilize advanced AI technology to proactively identify and prevent fraud and financial crimes in real time, setting new standards for accuracy, speed, and scalability across multinational organizations.
Lynx is dedicated to helping its clients move from a reactive to a proactive response by harnessing the power of AI to illuminate risk and deliver actionable insights. Lynx continues to set the standard for accuracy, speed, and scalability for multinational financial institutions (FI) and payment providers around the globe. Learn more at https://lynxtech.com/