Enhancing Fraud Detection with Big Data Analytics

Demand for fraud detection and prevention will continue to rise as fraud rates increase and attacks become more sophisticated, with the emerging fraud types such as social engineering fraud and synthetic identity fraud.

Legacy solutions aren’t cutting it, either. 86% of potential synthetic identities are not flagged by traditional fraud detection models.

In this guide, discover how to effectively detect fraud using a delicate balance between safety measures that weed out the bad guys—and experience optimizations that let real customers through without too much hassle.

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