LexisNexis Launches AI Tool That Adapts to Changing Fraud Patterns
LexisNexis Risk Solutions launched Emailage Adaptive, an AI fraud detection tool. It automatically adjusts to new fraud patterns by learning from transaction data and confirmed fraud cases. The system analyzes email addresses, IP addresses, and physical addresses to score fraud risk. Dell Technologies uses the tool, doubling its fraud capture rate in high-risk transactions. The system also reduced Dell's manual reviews of low-risk transactions by 83%.
LexisNexis's Emailage Adaptive is a self-calibrating fraud model. It adapts instantly to subtle changes in fraud patterns. This removes the lag between new fraud patterns and defense calibration. The tool identified 90% of fraud in high-risk transactions during testing. It also reduced false positives by over 80%.
This technology matters for Asia's rapidly digitizing fintech sector. Fraud attacks scale faster with generative AI, overwhelming manual systems. Singapore and Hong Kong financial institutions face constant threats. Emailage Adaptive could help them enhance predictive accuracy. It also reduces manual workload, a key benefit for understaffed fraud teams.
The thing to watch is the adoption rate among large Asian banks and payment processors. Dell doubled its fraud capture rate and cut manual reviews by 83%. Similar results in Asia would validate the AI's effectiveness. This would also pressure smaller players to upgrade their own fraud detection systems.
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