Check Fraud

Stop fraud before checks clear with precision AI

Cut losses and thwart more fraudsters with AI-driven image forensics and cross-channel check fraud protection.

Product Highlights

Shut down check fraud before deposits turn into losses

• Best-in-class image forensics: Spot subtle manipulations and cross-institution fraud with AI-driven image forensics and consortium insights, powered by Mitek.
• Precision AI & friction-right rules: Reduce friction for legitimate customers with made-for-you AI models, production-grade simulation, and self-serve rule management.
• Integrated, cross-channel insights: Spot more dubious activity, building cross-rail and channel analytics without the heavy lift of implementing a standalone check fraud solution.

Check Fraud Detection Software

Catch what humans miss with AI-driven check fraud software.

Leverage Hawk’s AI-powered fraud transaction monitoring together with Mitek’s image forensics to prevent fraud typologies like synthetic checks, check washing, kiting, and paperhanging.

Detect threats with higher precision

• Identify visual anomalies: AI-driven image analysis uses Optical Character Recognition (OCR), computer vision AI models, and algorithms to analyze 24 check attributes, including text and handwriting style, content layout, and signature and identity attributes.
• Detect fraudulent check patterns: Cover all bases with anomaly detection, false positive reduction, and rapidly trained fraud typology AI models.
• Tap into consortium intelligence: Mitek’s consortium shares cross-institution data to identify suspicious checks, stopping fraudulent checks in their tracks.
• Accelerate alert review: Contextual AI explanations bring investigator clarity, leaving nothing open to interpretation.

Streamline your check fraud prevention

• Quick integration with one rail-agnostic API.
• Support for both API and batch processing.
• Ability to process a variety of check types (e.g., personal checks, cashier’s checks, transit checks, money orders).
• Coverage across multiple channels (e.g., Remote Deposit Capture (RDC), mobile, ATMs, in-branch teller services).
• Ready-to-use check fraud rules to hit the ground running.
• Flexible rule creation and triggering to pinpoint suspicious payee activity.
• Check attribute-specific risk scores and a best-fit historical reference for confident decisions on flagged checks.
• Direct integration with Hawk’s fraud prevention solution for unified fraud management.

The Hawk Difference

Discover how Hawk raises the bar for efficient check fraud detection.

The Traditional Way

• Outdated image forensics technology with poor accuracy.
• Check fraud slips through because institutions are operating in isolation.
• Reliance on external support to manage rules, delaying response time to fraud.
• Confusing AI with limited visibility into why alerts are triggered.
• Check data siloed from other payment rails, increasing the burden of operational maintenance.

The Hawk Way

• Accurate check fraud detection: combining best-in-class image forensics and precision AI.
• Consortium insights: allow FIs to suspicious checks across institutions.
• Full control with flexible, self-serve rule management.
• Clear and contextual AI explanations: that speed up alert review.
• Quick integration and easy maintenance of your fraud infrastructure: with a single rail-agnostic API and unified fraud management.

Use Cases

Protect your bottom line, flagging fishy checks across the clearing process

Identify high-risk discrepancies through AI models and algorithmic analysis of 24 check attributes:

• Counterfeit Checks
• Altered Checks
• Forged Checks
• Check Floating

Counterfeit Checks

Block counterfeit checks even if they’ve never been seen before. Hawk compares check attributes to Mitek’s consortium, uncovering anomalies in the MICR line, general geometry features, and more.

Altered Checks

Spot when a check’s handwriting, name and amount fields have been tampered with, before funds are released.

Forged Checks

Detect fraudulent drawer signatures or endorsements by using computer vision AI to analyze check images for subtle deviations from verified check profiles.

Check Floating

Stop fraudsters in their tracks with rules to detect rapid in and out flow of funds and high-value check deposits for a first-time depositor.

Agentic AI: A Practical Guide for Anti-Financial Crime and Compliance Leaders

How is agentic AI changing the way that financial crime and compliance teams work? Our latest whitepaper provides you with 50 pages of insight on the best use cases for agentic AI, covering:

• Improving investigations
• Enhancing system accuracy
• Optimizing workflows

Get your copy

Frequently Asked Questions

What is a check fraud detection software?

A check fraud detection software is an automated solution that uses artificial intelligence and machine learning to identify counterfeit, forged, or altered checks. Unlike manual verification, these platforms analyze both the physical attributes of a check (via image analysis) and the transaction behavior of the account holder to stop fraud before funds are released.

How does AI improve bank check fraud prevention?

AI improves prevention by moving beyond simple rule-based triggers. Modern check fraud prevention platforms utilize "Computer Vision" to detect anomalies in handwriting, signature consistency, and MICR line alignment. By correlating these physical traits with historical spending patterns, AI can reduce false positive alerts by up to 70% compared to legacy systems.

Can check fraud detection be automated in real-time?

Yes. Modern automated check fraud solutions integrate via API to analyze checks as they are deposited via RDC (Remote Deposit Capture), ATM, or teller lines. The analysis happens in milliseconds, allowing financial institutions to place immediate holds on suspicious items or block fraudulent transactions before they settle.

What are the key features to look for in a check fraud solution?

When evaluating check fraud detection platforms, essential features include:

• Check Image Analysis: The ability to detect "washed" checks and forged signatures.
• Behavioral Monitoring: Comparing current check activity to historical patterns.
• Unified Case Management: A single dashboard for analysts to review and resolve alerts.
• Explainable AI: Clear "reason codes" explaining why a specific check was flagged as high-risk.

What’s the difference between legacy and automated check fraud detection?

The transition from legacy check fraud detection to an automated AI-driven platform is the difference between catching fraud after the money is gone and preventing the loss in real-time. Legacy systems typically rely on basic MICR (Magnetic Ink Character Recognition) data and rigid dollar-amount thresholds, whereas automated solutions use "Computer Vision" and behavioral intelligence to inspect the check itself.