LexisNexis Launched AI Fraud Detection Solution

The new Emailage Adaptive tool uses self-calibrating artificial intelligence to identify fraudulent transaction patterns.

Updated on Sept. 22, 2026 in Financial Crime

Isometric editorial illustration showing a complex structure of glass spheres and metallic filaments, representing abstract data signals. — LexisNexis Risk Solutions has launched Emailage Adaptive, an AI-powered platform designed to identify fraudulent transaction patterns across disparate digital signals. AI Illustration. Upload story photo >

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Do you trust automated AI systems to manage fraud detection for your personal financial accounts?

LexisNexis Risk Solutions has introduced Emailage Adaptive, an AI-powered tool designed to detect fraud by analyzing email, IP, phone, and address signals. The system features a continuous learning loop that allows models to recalibrate automatically without manual intervention.

Why it matters

Sophisticated fraud attacks are occurring at a faster rate than traditional manual prevention strategies can manage. This solution aims to provide businesses with a more responsive defense mechanism against evolving cyber threats.

Testing captured approximately 90% of frauds in high-risk transactions while reducing false positives by more than 80%. Dell Technologies reported an 83% reduction in manual reviews of low-risk transactions using the new system.

The players

LexisNexis Risk Solutions

This global data and analytics firm provides information-based analytics and decision support tools for businesses and government agencies.

Dell Technologies

This multinational technology corporation specializes in the development, repair, and support of computer systems and related products.

The details

The platform analyzes disparate data points across email, IP, phone, and address signals to identify risk. By utilizing transaction data and industry context, the tool automatically adjusts its models to keep pace with new fraud signatures.

LexisNexis introduced the platform on September 22, 2026.

Legal Context

This development aligns with patterns observed in the 2026 LexisNexis Cybercrime Report, which tracks the escalating threat of digital account takeovers. As fraud frequency increases, industry standards for identity verification are shifting from static checks to adaptive, AI-driven models.

Consumers may experience fewer account lockouts and false transaction declines as businesses adopt more accurate screening tools. Furthermore, by curbing fraud, companies can better manage the total cost of attacks, which currently exceeds $5 for every $1 of direct loss.

The takeaway

Businesses are increasingly turning to self-calibrating AI to combat the reality that one in 11 new account creations is a fraudulent attempt. Utilizing automated, real-time risk assessment helps companies protect their bottom line while reducing friction for legitimate customers.