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FraudSentry Check Fraud Prevention

Check Fraud Prevention Before It Posts

What is check fraud detection software?
Check fraud detection software helps financial institutions identify suspicious altered, counterfeit, and forged checks for review before they post. FraudSentry combines check-image analysis with transaction- and account-level detection signals to focus investigators on higher-risk items while financial-institution personnel make the final determination.
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FraudSentry reporting | January-September 2026

Reported confirmed fraud activity

$6.47M

Recorded confirmed fraud

701

Reported items

Source: FraudSentry confirmed-fraud reporting, October 17, 2026.
Recorded confirmed fraud is not verified losses prevented.

Reporting details

January-September 2026 records total $6,474,557.66 across 701 reported items. These are source-reported confirmed-fraud amounts and items, not a detection-accuracy rate or a count of unique prevented transactions. Actual financial benefit depends on the institution's actions and outcomes.

Park View Federal Credit Union

A verified customer outcome

In its first 12 months using FraudSentry, Park View's verified prevented check-fraud losses exceeded the total cost of its initial three-year agreement.

The published customer story covers September 2025 through August 2026. It distinguishes $115,629.11 in confirmed fraudulent check activity recorded in the platform from losses actually prevented. Some items were entered after the fact for training and are not counted as prevented losses.

FraudSentry has become a critical tool in protecting both our members and our credit union.

Tanya S. Holland
Director of Digital Operations, Park View Federal Credit Union

Read the Park View customer story

Source: Park View Federal Credit Union customer story, first 12 months of use. A specific customer's experience, not a typical or guaranteed result.

Stop Suspicious Checks Earlier

Check fraud becomes more expensive and disruptive after an item posts. FraudSentry helps institutions review suspicious checks earlier by combining check-image analysis with transaction and account-level detection signals.

Teams receive a more focused set of suspicious items to investigate, helping them act before posting and applicable return deadlines.

Examine Check Images

Analyze check images for indicators associated with altered, counterfeit and forged items.

Identify Transaction Anomalies

Surface activity such as duplicate checks, serial-number irregularities and unusual check behavior.

Focus the Review Process

Help fraud teams concentrate their time on suspicious items requiring further investigation.

Financial value without a one-size-fits-all price.

Every institution's fraud exposure and FraudSentry agreement are different. Rather than use a generic ROI assumption, we reviewed historical examples where confirmed-fraud reporting and recurring service fees could be matched to the same service period.

In 81% of the period-matched examples reviewed, recorded confirmed fraud was greater than recurring FraudSentry service fees for the same period.

The comparison puts recorded fraud activity in financial context without disclosing individual customer pricing. It does not mean every recorded dollar was prevented, and it should not be interpreted as a guaranteed ROI or typical customer result.

Methodology: 13 of 16 eligible historical invoice-period comparisons met the condition above. Comparisons use recorded confirmed fraud and net invoiced recurring service fees for the same service period. Recurring fees exclude setup and tax, and an invoice is not proof of payment or complete customer cost. Recorded confirmed fraud is not the same as verified losses prevented. This is a selected historical evidence set, not a representative study of all FraudSentry customers.

Mask group (44)

How FraudSentry Supports Check-Fraud Review

electronic-signature
Automated signature
verification
analysis
Check-stock and check-style analysis
comparison
CAR/LAR discrepancy analysis
plagiarism
Serial-number and duplicate-check detection
image-recognition
Negative-image matching
control
Configurable thresholds and review parameters
Group 5

“FraudSentry has proven to be a valuable tool in our fraud detection suite. By quickly identifying fraudulent checks, FraudSentry has saved our customers and our bank thousands of dollars in the short time we have gone into production. One check alone covered our investment in FraudSentry.”

Chief Risk Officer, Identity Protected
Group 5

“FraudSentry identifies potential suspect items and flags them for review. This saves me a considerable amount of time each day and allows me to focus my efforts on a much shorter list of checks, which results in a much more thorough review.”

Accounting Clerk, Identity Protected
module

Check Fraud Prevention FAQ

What is FraudSentry?

FraudSentry is Finovifi's check-fraud detection solution for financial institutions. It uses check-image analysis and transaction-level detection signals to help teams identify suspicious checks for review before posting.

How does FraudSentry help prevent check fraud?

FraudSentry surfaces suspicious checks for investigation using signals such as signature, check-stock, check-style, CAR/LAR, serial-number, duplicate-check and negative-image analysis. The institution reviews the flagged item and determines the appropriate action.

What types of check fraud can FraudSentry help identify?

FraudSentry is designed to support the review of altered, counterfeit and forged checks, including check washing, amount discrepancies, duplicate items and serial-number irregularities.

Does FraudSentry replace human review?

No. FraudSentry helps focus the review process by surfacing suspicious items and supporting evidence. Financial-institution personnel investigate the item and make the final determination.

When does FraudSentry analyze checks?

FraudSentry is designed to help institutions identify suspicious checks before posting and applicable return deadlines. The exact workflow and processing schedule should be confirmed during the institution's solution review.

What does the current FraudSentry reporting show?

FraudSentry reporting records $6,474,557.66 in confirmed fraud across 701 reported items for January-September 2026. Source: confirmed-fraud reporting dated October 17, 2026. These are recorded amounts, not a total of verified losses prevented. Actual avoided losses require evidence of the institution's actions and outcomes.

How should I interpret the 81% financial-context comparison?

In 81% of the eligible historical period-matched examples reviewed, recorded confirmed fraud was greater than net invoiced recurring FraudSentry service fees for the same period. The underlying review included 16 eligible invoice-period comparisons. This is not an ROI calculation or a typical-result claim: recorded confirmed fraud is not the same as verified loss prevented, and recurring service fees do not represent every possible customer cost.

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See What FraudSentry Could Add to Your Fraud-Prevention Process

Learn how FraudSentry helps community financial institutions identify suspicious checks earlier, focus fraud-review resources and prevent confirmed losses before posting.

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