Fight Synthetic Fraud with a Multi-Layered Detection Platform

Learn key characteristics of synthetic fraud, and how to stop it.

Download the guide to learn:

  • What synthetic fraud is, and why it’s so difficult to detect
  • How synthetic identities are created
  • 6 common characteristics of synthetic fraud
  • How a multi-layered approach can protect your organization

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Synthetic fraud is the fastest growing type of financial fraud in the U.S., resulting in $6 billion in annual losses. To fight synthetic fraud, financial institutions must look beyond conventional methods. Comprehensive fraud platforms that use a multi-layered approach can detect fraud signals across the entire customer account lifecycle, stopping synthetic fraud in its tracks.

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About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.