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Fight Synthetic Fraud with a Multi-Layered Detection Platform
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
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.
About DataVisor
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.