LexisNexis Risk Solutions Debuts Emailage Adaptive: Dell First to Adopt Self-Calibrating AI Fraud Tech

LexisNexis Risk Solutions has launched Emailage Adaptive, a self-calibrating AI risk scoring tool designed to combat the rising tide of automated fraud. By automating model recalibration, the solution addresses the critical lag in traditional fraud prevention, allowing fintechs and large enterprises to maintain high-speed transaction approvals without sacrificing security or increasing manual review burdens.

What was announced

The launch of Emailage Adaptive introduces a fully AI-model based architecture that analyzes a variety of digital signals, including email, IP address, phone number, and physical address. In testing, the solution demonstrated the ability to capture approximately 90% of frauds within the highest risk transaction brackets while simultaneously reducing false positives by more than 80%. This level of precision is achieved through a continuous learning loop that incorporates an organization’s unique transaction data, specific fraud patterns, and broader industry context.

The system is built to operate across high-risk scenarios such as new account openings, ongoing account management, and payment processing. Unlike traditional systems that require manual policy adjustments, Emailage Adaptive automatically recalibrates its models without human intervention. This is particularly relevant given that there are 7.9 billion email accounts globally, with one-third of users maintaining the same address for over a decade, making email history a vital component of risk intelligence.

The solution has already seen large-scale implementation by Dell Technologies. Since adopting the technology, the global brand has doubled its high-risk fraud capture rates and achieved an 83% reduction in the manual review of low-risk transactions. The product’s efficacy was further recognized by Juniper Research, which awarded it the 2025 Platinum Award for AI in Fraud Prevention Innovation and the 2026 Platinum Award for Payments Fraud Prevention Innovation.

"As generative AI scales, fraud attacks are now happening at a faster rate than most manual prevention strategies can keep pace with, overwhelming systems and exposing businesses to ever greater risk. By continuously learning from fraud outcomes, backed by cross industry risk intelligence, a self-calibrating fraud model can adjust instantly to subtle changes in fraud patterns, removing the lag between when patterns emerge and when defences calibrate. This allows fraud teams to continually enhance predictive accuracy while reducing manual workload."

Kimberly Sutherland, Global Head of Fraud & Identity at LexisNexis Risk Solutions.

The companies involved

LexisNexis Risk Solutions is a major player in the global risk intelligence space, providing data and technology services to help customers predict and manage risk. The firm operates across various sectors, including financial services, insurance, and healthcare, leveraging vast datasets to provide explainable risk scores. The company has established itself as a provider of "explainable" AI, a critical factor for regulated industries that must justify why a transaction was flagged or denied.

Dell Technologies, one of the world’s largest technology brands, serves as a primary case study for the implementation of these AI-driven risk models. Dell’s involvement highlights the scale at which these solutions must operate, managing high volumes of transactions across a global footprint. Jeremy Cole, director, business operations at Dell Technologies, noted that the self-calibrating model has allowed their fraud team to minimize reliance on static rules and approve more legitimate transactions with confidence.

What FF News has reported before

FF News has closely followed the data-driven insights provided by LexisNexis Risk Solutions throughout 2026. In August, we covered how LexisNexis Risk Solutions Reports Historic Auto Insurance Shopping Growth in Q2 2026, highlighting the firm's deep visibility into consumer behavior. This was followed by a report on how LexisNexis Data Reveals 70% of U.K. Insurance Flood Claims Driven by Flash Flooding, demonstrating the breadth of their risk intelligence beyond financial fraud. Additionally, our coverage of Dell Research: UK BFSI SMEs Reclaim 2.5 Hours Weekly Through AI Integration underscored the broader trend of AI adoption within the BFSI sector, a movement that the launch of Emailage Adaptive continues to support.

What this means

The shift from static rules to self-calibrating AI models marks a necessary evolution in the fintech arms race. As bad actors leverage generative AI to automate and vary their attacks, any system relying on manual updates will inevitably fall behind. This announcement puts significant pressure on legacy fraud prevention providers who still rely on human-led policy adjustments. The industry is moving toward a "set and monitor" approach rather than "set and forget," but the reliance on "explainability" remains a hurdle. For the sector, the question is no longer whether AI should be used, but how quickly it can adapt without creating new blind spots in the process.