LexisNexis Risk Solutions Launches Emailage Adaptive to Slash Fraud False Positives by 80%

LexisNexis Risk Solutions has launched Emailage Adaptive, a self-calibrating AI fraud scoring tool designed to reduce false positives while maintaining high detection rates. For fintech professionals, this addresses the critical friction point between security and user experience, automating the recalibration of risk models to keep pace with rapidly evolving generative AI-driven fraud tactics.

What was announced

The new solution, Emailage Adaptive, is a self-calibrating, AI-powered risk scoring tool designed to identify fraudulent activity while significantly minimizing the flagging of legitimate transactions. Built on a fully AI-enabled architecture, the system analyzes a variety of digital signals including email, IP addresses, phone numbers, and physical addresses. In initial testing, the solution demonstrated the ability to capture approximately 90% of fraud within the highest-risk transaction brackets. Crucially for operational efficiency, it also reduced false positives by more than 80%.

The technology functions by continuously learning from an organization’s specific transaction data, substantiated customer feedback, and industry-specific fraud patterns. Unlike traditional systems that require manual intervention to update rules, Emailage Adaptive builds iterative, tailored models that automatically recalibrate without human interference. This is intended to support better predictive accuracy across high-risk scenarios such as account opening, payments, and general account management. The importance of email as a stable identifier is central to the product; with 7.9 billion email accounts globally and a third of users maintaining the same address for over a decade, the history and usage patterns of an email provide a unique data point for risk intelligence. The solution has already received industry recognition, securing the 2025 Platinum Award for AI in Fraud Prevention Innovation and the 2026 Platinum Award for Payments Fraud Prevention Innovation from Juniper Research.

"The self-calibrating AI model has helped us modernize fraud prevention by minimizing reliance on static rules and manual policy adjustments. Our fraud team can now calibrate less, act faster and approve more legitimate transactions with confidence."

Jeremy Cole, director, business operations, Dell Technologies.

The companies involved

LexisNexis Risk Solutions operates as a major provider of data and advanced analytics for the risk industry. The organization focuses on providing tools that help businesses and government entities reduce risk and improve decision-making through large-scale data analysis. Its digital identity and fraud prevention portfolio has become a cornerstone for financial institutions and e-commerce giants looking to secure the customer lifecycle against emerging threats. Dell Technologies, a primary user of the new Emailage Adaptive solution, stands as one of the world's largest technology brands. By integrating these AI-driven risk scores, Dell has moved away from traditional manual policy adjustments in its business operations. The collaboration highlights a broader market trend where global enterprises are seeking to automate the "lag time" between the emergence of new fraud patterns and the deployment of defensive measures. LexisNexis Risk Solutions maintains a significant presence across multiple sectors, including insurance and financial services, leveraging vast datasets to provide predictive insights that were previously reliant on static, human-managed rule sets.

What FF News has reported before

FF News has closely followed the development of LexisNexis Risk Solutions' AI-driven initiatives and its impact on major global brands. We recently covered the initial rollout of this specific technology in LexisNexis Risk Solutions Debuts Emailage Adaptive: Dell First to Adopt Self-Calibrating AI Fraud Tech, which detailed how Dell Technologies became the first major brand to adopt the self-calibrating model. Beyond fraud prevention, our reporting has touched on the company's broader data applications in the insurance sector. In LexisNexis and IMS Partner to Slash Telematics Costs by 80% with New Smartphone Solution, we explored their work to deliver driving intelligence. Additionally, the firm’s data-driven insights were highlighted in LexisNexis Data Reveals 70% of U.K. Insurance Flood Claims Driven by Flash Flooding, demonstrating the breadth of their risk analysis capabilities across different geographic regions.

What this means

The move toward self-calibrating models marks a definitive shift in the arms race between fintechs and fraudsters. As generative AI allows attackers to launch high-velocity, evolving campaigns, the traditional "rule-book" approach to fraud prevention is becoming a liability. For the industry, this announcement puts pressure on legacy providers who still rely on manual policy adjustments, which often result in high friction for legitimate customers. The focus on "explainability" is particularly sharp here; as regulators demand more transparency in AI decision-making, the ability to provide clear reason codes for risk scores will be the benchmark for any AI-driven tool in the financial sector moving forward.