Document Fraud in the Age of AI

How To Measure Deepfake Detection

Deepfakes keep getting more sophisticated and harder to catch. How do you know if your detection systems can keep up with the pace of this AI-powered fraud?

Now there is a way to test it. The U.S. Department of Homeland Security funded research that created a dataset called IDNet, which consists of more than 800,000 AI-generated synthetic documents. The goal of this initiative was to benchmark document verification solutions by seeing how well they can detect these AI-generated deepfakes. 

We tested Microblink’s technology against IDNet, and so can you. Download this report to learn:

  • What the IDNet dataset reveals about the future of AI-generated fake documents
  • How the availability of such a dataset can transform deepfake detection
  • How Microblink’s detection performed under extreme fraud scenarios

Multiple ID cards, with highlighted Nevada ID card in the middle

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Mapping the Rise of AI-Powered Identity Fraud

AI didn't just make fraud faster. It made it a system. We analyzed millions of identity interactions to map how identity attacks are evolving across regions, attack types, and sophistication levels — and what organizations need to rethink to keep pace.

See the Data