LexisNexis Risk Solutions has launched Emailage Adaptive, an AI-powered fraud detection solution designed to continuously adjust to changing fraud patterns without requiring manual recalibration.
The company said the tool uses tailored AI models that learn from an organisation’s transaction data, fraud outcomes and industry context. The system then updates its risk models as new patterns emerge, aiming to help businesses identify suspicious activity while reducing the number of legitimate transactions incorrectly flagged as fraud.
Emailage Adaptive analyses multiple signals, including email addresses, IP addresses, phone numbers and physical addresses. These signals are assessed alongside network intelligence and confirmed fraud data to generate a risk score.
According to LexisNexis Risk Solutions, testing showed the solution could identify around 90% of fraud among the highest-risk transactions while reducing false positives by more than 80%. These results are based on the company’s testing and should not be treated as an independent assessment of the product’s performance.
The company said the system is intended to reduce reliance on static fraud rules and manual adjustments. Traditional fraud models may require teams to review and change rules when criminals alter their tactics. Emailage Adaptive is designed to make these adjustments automatically as new data becomes available.
The solution can be used across several stages of the customer journey, including account opening, account management and online payments. LexisNexis said its risk scores can also provide reason codes showing which factors influenced the assessment, giving fraud teams more visibility into automated decisions.
The launch comes as businesses face increasingly changing fraud patterns. LexisNexis Risk Solutions’ 2026 Cybercrime Report, based on more than 116 billion online transactions detected through its Digital Identity Network in 2025, reported an 8% increase in the global fraud rate. The company attributed the increase to factors including synthetic identities, automated attacks and changing fraud tactics.
AI is also being used by fraudsters, increasing pressure on companies to update their detection systems. LexisNexis has reported growing use of AI in identity-related fraud, including attacks involving synthetic identities and other forms of identity manipulation.
LexisNexis cited Dell Technologies as an example of the system’s use in practice. According to the company, Dell doubled its fraud capture rate in high-risk segments and reduced the number of low-risk transactions sent for manual review by 83% after implementing Emailage Adaptive.
Emailage Adaptive is part of shift toward automated and continuously updated fraud prevention. Rather than relying only on fixed rules, the system is designed to use new transaction and fraud data to adjust risk assessments as customer behaviour and attack patterns change.
