Check fraud is at
an all-time high

In 2022, check fraud increased 84% and it’s not stopping. Mitek (inventor of Mobile Deposit ®) has a solution to combat this rise in fraud, Check Fraud Defender. It is the premier AI-powered and cloud-hosted model for fighting check fraud that augments your existing fraud stack. Check Fraud Defender reduces the number of checks routed for manual review and helps reduce risks associated with synthetic and account fraud, forged checks, and identity theft.

Get your custom Find-the-Fraud Assessment

The perfect complement to your existing fraud stack

Check Fraud Defender is designed to reduce loss, centralize decision-making, and minimize manual reviews. It complements your existing fraud stack by visually inspecting checks from all channels. How does it work? Using Mitek’s proprietary visual inspection model, Check Fraud Defender, leverages AI and machine learning to score 18 check attributes beyond account data to help with personal information and fraud protection, as well as identity theft. 

Hit fraud loss goals

Reduce manual review times

Get actionable insights

Keep your same workflow

Key resources

Bank case study

Learn how a top-25 U.S. bank combatted its growing multi-million dollar check fraud problem and avoided $16M in losses.

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Check fraud infographic

Get a better understanding of the different types of check fraud financial institutions are seeing today.

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Check Fraud Defender overview

This short video shows how Mitek is using the power of AI and computer vision to combat check fraud.

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Start with our Find-the-Fraud Assessment

Mitek’s custom assessment makes use of your financial institution's data and securely allows us to show you the improvements we can make in your current fraud detection process. In as little as two weeks, you will see how Check Fraud Defender can reduce your fraud losses initially missed with your current fraud checks. Contact us to get started on your Find-the-Fraud Assessment today. 

See for yourself with our Find-The-Fraud Assessment.

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