Check Fraud Prevention

Stop check fraud before funds become available

DataVisor combines check-image signals with customer, account, device, and network context—so teams can assess counterfeit, altered, and duplicate deposits in context and make faster funds-availability decisions.

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See a deposit decision from image to evidence.

Payment Types/Check Fraud
What You Can Accomplish

What you can accomplish with DataVisor

Omnichannel Detection

Detect suspicious checks across every channel

Identify risky checks across mobile, remote, ATM, branch, teller, and batch deposits.

Image + Context

Combine image analysis with customer history

Evaluate image-analysis results alongside customer and account history for a fuller picture.

Evidence-Ready Action

Act fast with evidence in hand

Apply approve, hold, decline, verify, or review actions and assemble investigation evidence automatically.

Layered Intelligence

Look beyond the image to the full deposit context

Check-image and document risk signals combine with deposit behavior, account and transaction history, device and session intelligence, graph relationships, rules, machine learning, and case management.

How It Works

From deposit capture to the right action

1

Receive the check image and deposit context.

2

Evaluate image, customer, account, device, transaction, and related-entity signals.

3

Score the deposit using rules, models, and network context.

4

Return the configured action and preserve supporting evidence for review or case management.

Product Proof

Follow a deposit from image to decision

See a mobile or remote deposit move from image-analysis signals to customer and account context, a hold or review decision, and the evidence assembled for an investigator.

Mobile deposit
→
Image signals
→
Account context
→
Hold or review
→
Evidence
Explore a check deposit decision.
Beyond Image-Only Detection

See the full story behind every check

DataVisor evaluates each check alongside the customer, account, deposit behavior, device, movement of funds, related accounts, and prior outcomes—going well beyond image-only detection.

Coverage

Protect against every check scheme

Counterfeit checks Check washing Altered payees or amounts Duplicate deposits Remote-deposit capture fraud Check kiting Paperhanging Forged endorsements Stolen checks Coordinated deposit fraud
Connected Platform

Connect every deposit channel

Integrate core and deposit systems, image and document inputs, and mobile, ATM, branch, and batch workflows with dEdge, Identity & Risk Signals, Knowledge Graph, Rules & Features, machine learning, Decisioning, and Case Management.

Real-Time Decisioning → Device & Behavioral Intelligence → Knowledge Graph & Link Analysis → Identity & Risk Signals → Investigations & Case Management → Rules, Features & Workflows →
FAQ

Common questions

What is check fraud?

Check fraud includes counterfeit, altered, duplicate, washed, forged, stolen, and coordinated deposit fraud across mobile, remote, ATM, branch, teller, and batch workflows.

How does DataVisor handle legitimate unusual deposits?

DataVisor weighs image signals with customer history, account behavior, and network context, so legitimate unusual deposits are handled proportionally with funds-availability controls.

Which deposit channels does DataVisor support?

DataVisor can evaluate deposits from mobile, remote, ATM, branch, teller, and batch workflows. Supported channels depend on your deployment.

See Check Protection Live

Protect every deposit channel

See DataVisor in action across mobile, ATM, branch, remote-deposit, or batch processing.

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