Digital Element and Ravelin Partner to Supercharge Custom Fraud Prevention Models

AI-powered fraud prevention is evolving fast—now with the help of a new partnership between Ravelin and Digital Element. . Through this collaboration, Ravelin is leveraging Digital Element’s NetAcuity IP intelligence to enhance the performance of its bespoke machine learning (ML) models, which enable smarter, faster, and more context-aware fraud prevention for enterprise merchants and payment service providers (PSPs).

This announcement comes as the scale and complexity of fraud reach new heights. According to Ravelin’s Global Fraud Trends 2025 report, 77% of merchants experienced a year-on-year increase in fraud, with the average annual fraud loss per company reaching $10.6 million. The need for advanced, data-rich prevention tools has never been more urgent.

This collaboration underscores a shared commitment to innovation in fraud detection, with Digital Element’s industry-leading IP intelligence serving as a key enabler of smarter, real-time decisions. By integrating Digital Element’s highly accurate and contextualized IP address data, Ravelin further enhances its bespoke machine learning models. These client-specific models now benefit from a powerful new layer of geospatial and behavioral context, allowing for more precise risk scoring, deeper fraud pattern detection, and faster identification of anomalous activity. By combining real-time IP data with AI-powered fraud prevention systems, the solution adapts quickly to emerging threats.

“Our IP data goes far beyond simple geolocation. It delivers contextual intelligence, such as proxy detection, connection type, and IP stability, that reveals deeper behavioral patterns that may indicate fraud that are often missed by traditional methods,” said Vinod Kashyap, Chief Product Officer at Digital Element. “Partnering with Ravelin demonstrates that this data can be a powerful asset in building more accurate, adaptive fraud prevention strategies tailored to each client’s unique challenges.”

This enrichment data, which feeds directly into Ravelin’s client-specific machine learning models, enables a deeper understanding of customer behavior and fraud risk. Each model is custom-built to reflect the unique transaction patterns and risk profile of an individual client. As fraud tactics continue to evolve, this real-world contextual intelligence allows Ravelin to adapt in real time, helping clients stay ahead of threats while preserving a smooth and secure user experience.

“No two businesses face the same fraud challenges. Our approach is to build fresh models for each client,” said Oliver Whitfield, Director of Partnerships at Ravelin. “Digital Element’s contextual IP intelligence allows us to layer in a new dimension of insight, helping to improve detection while reducing false positives.”

As fraud continues to grow in scale and sophistication, this partnership brings together two leaders committed to smarter, more adaptive prevention. By combining Digital Element’s rich IP intelligence with Ravelin’s tailored machine learning models, businesses gain the precision and agility needed to stay ahead of threats, without compromising the customer experience.