Guides / Buyer shortlist

Check fraud detection software for community banks & credit unions

Informational only, not an endorsement.

This page is for fraud managers, BSA officers, deposit-operations leads, and treasury officers at community banks and credit unions who are staring at check losses: altered or washed checks, counterfeits, fraudulent deposits, or a kite. The ICBA fraud and scams page ↗ says check fraud continues to be the most pressing challenge for community banks, driven by mail theft, more sophisticated alteration, and coordination gaps. This page splits that problem into four purchases, then maps each name to a BankToolkit listing or says plainly that it is not listed.

Listings are informational only. BankToolkit does not endorse, rank, or score these products. If a price, a detection rate, or a name is missing, we could not cite it. Account takeover, payment scams, and combined fraud-and-BSA work live in the fraud prevention guide. This page does not re-explain those lanes.

Short answer: image analysis or positive pay?

They protect different items. A bank or credit union that is taking check losses seriously usually ends up with both, often from different providers (a core or digital-banking add-on, plus a specialist, or a FRAML platform plus positive pay).

Positive pay compares a presented check with the issue file an enrolled business customer submitted. It covers the checks those customers wrote. It does not watch a consumer account that never had an issue file, and it does not review the altered item someone deposits at your teller line, ATM, or mobile app.

Check image analysis and deposit analytics look at items deposited at your institution, and at checks drawn on accounts positive pay never enrolled. That is how teams spot alteration, washing, counterfeit stock, and forged signatures.

Payee positive pay narrows one gap on enrolled business accounts: it also matches the payee name on the image to the name in the issue file, which is aimed at washed checks. Kiting is a third problem. It is behavior across accounts. Neither tool fully covers it alone.

Four lanes before you pick a vendor

“Check fraud software” is four different purchases. Name the lane before you sit through a demo. Broader payments-fraud platforms on the Fraud Prevention category may cover checks. Their BankToolkit blurbs do not say so, so this page does not put BioCatch, Featurespace, Feedzai, Sardine, or ThreatMark in a check lane. Ask in the demo, and use the fraud prevention guide for account takeover and the other payment rails.

Check image analysis and deposit fraud (inbound items)

This is a deposit at the teller, ATM, or mobile and remote deposit. The loss is a counterfeit, altered, washed, or forged check. Ask whether the result arrives before posting or only the next day, and whether any consortium includes items seen at other banks.

Verafin, on BSA / AML Compliance, describes deposit analysis across ATM, mobile, remote deposit, and the branch, including a hold on a higher-risk deposit (Verafin deposit fraud ↗). Its check page adds front-and-back image review and names altered, counterfeit, duplicate, stolen, and kiting patterns (Verafin check fraud ↗). Fiserv, on Core Banking, describes Check Fraud Defender, in partnership with Mitek, as image analysis plus a check-image consortium for mobile, branch, ATM, and back-office in-clearing (Fiserv Check Fraud Defender ↗). There is no separate Fiserv product row.

Also listed on Fraud Prevention:

On-us and in-clearing image review (items drawn on your customers)

This is the paying-bank side. The check is drawn on your customer. It may have been deposited elsewhere and come back in clearing, or cashed at your own counter. The window to return an item is short. Ask counsel what that deadline is. This page does not state the legal rule.

Verafin’s check page describes in-clearing image analysis (security features, signatures, layout, and text) against the account’s past behavior. Fiserv’s page says Check Fraud Defender covers on-us and transit items.

Also listed on Fraud Prevention:

  • OrboGraph Anywhere Fraud reviews on-us and in-clearing items at the paying bank for counterfeits, forgeries, and alterations, including signature, check stock, and amount. OrboGraph says it is sold direct or through partners. OrboGraph Anywhere Fraud ↗
  • Parascript CheckStock.AI compares preprinted stock with authentic layouts (CheckStock.AI ↗). CheckwashAlert.AI flags handwriting differences that can mean a washed or rewritten payee or amount, including when no prior check is on file (CheckwashAlert.AI ↗).
  • Mitek is the image engine Fiserv names, and it has its own listing.

Check kiting and deposit behavior

Kiting is float abuse, not one bad image. NICE Actimize describes use of the gap between deposit and return, sometimes with rising amounts, and sometimes by depositing the same item more than once through remote capture (NICE Actimize check fraud ↗). Watch for repeated deposits drawn on the customer’s own or related accounts, round amounts, heavy ATM or remote-deposit use, and balances that sit on uncollected funds.

Verafin and NICE Actimize are both on BSA / AML Compliance. Verafin’s check page names kiting. NICE Actimize also names duplication, money mules, and counterfeit items. The listing calls NICE Actimize an enterprise suite, which is a scope check for a two-person desk. This work often sits in the FRAML or BSA platform.

Alogent names check kiting on its Shield page. Whether to place an extended hold is a Regulation CC question for counsel. This page does not say when a hold is allowed.

Positive pay and treasury (business) positive pay

Positive pay matches a presented check to an issue file the business customer sends: number, amount, date, and sometimes payee. It only helps enrolled accounts. It is usually bought through treasury or digital banking, not as a deposit-fraud tool.

Q2, on Digital Banking, describes Q2 Centrix Positive Pay for check and ACH exceptions, payee matching against the check image (including handwritten and washed checks), and a teller-line API. Q2 says it can run with Q2 Digital Banking or alongside other systems (Q2 Centrix Positive Pay ↗). There is no separate Centrix row.

Jack Henry, on Core Banking, describes Positive Pay for check and ACH exceptions that the business customer decisions, with images available for that review (Jack Henry Positive Pay ↗). An added module can present payee-name mismatches. Jack Henry says that module needs SilverLake and 4Sight Imaging. Banno’s docs describe the exception screen (Banno check exceptions ↗). There is no separate Positive Pay row.

If the business never submits the issue file, there is nothing to match. Ask how that file gets in, and what happens when nobody decisions an exception before cutoff.

Check fraud names mapped to BankToolkit

Checked October 29, 2026 (America/Los_Angeles). This is a map, not a ranking. Rows sit on Fraud Prevention, BSA / AML Compliance, Core Banking, or Digital Banking. Confirm every note in a demo. This table does not repeat detection rates, consortium sizes, or dollar figures from vendor pages.

Vendor / product Lane BankToolkit listing What to confirm in the demo
Verafin (Nasdaq) Image and deposit, on-us in-clearing, kiting Verafin on BSA/AML Which channels are in the proposal, and whether a score arrives before posting.
NICE Actimize Kiting and deposit behavior NICE Actimize on BSA/AML Whether checks are in this contract or a later module, and whether the queue fits a small desk.
Fiserv Check Fraud Defender (with Mitek) Image analysis, on-us and transit Fiserv on Core Banking Included in the core relationship or priced as a separate module. No product row of its own.
Q2 Centrix Positive Pay Positive pay, payee match, teller line Q2 on Digital Banking Runs with Q2 Digital Banking or beside another digital banking system. No product row of its own.
Jack Henry Positive Pay Treasury and business positive pay Jack Henry on Core Banking Whether payee-name exceptions are included, and which core they require. No product row of its own.
Abrigo Image and deposit, case workflow Abrigo on Fraud Prevention Which deposit channels are in the quote, and how alerts become a case.
Mitek Check Fraud Defender Image analysis Mitek on Fraud Prevention Bought direct, or only inside Abrigo or Fiserv. Consortium included or extra.
Finovifi FraudSentry Image analysis, before posting Finovifi (FraudSentry) on Fraud Prevention Whether the teller view is in this proposal, and when the flag arrives versus posting.
OrboGraph Anywhere Fraud On-us and in-clearing image review OrboGraph on Fraud Prevention Direct or through a core or service-bureau partner, and how it fits your return deadline.
Parascript Check stock and washed-check image checks Parascript on Fraud Prevention Which product (CheckStock.AI, CheckwashAlert.AI, or both) and whether a reference image is required.
Alogent Shield Deposit channels and kiting Alogent on Fraud Prevention Which of branch, self-service, and remote deposit are in the quote.

Buying through your core, digital banking, or treasury platform

Many community institutions will not buy a standalone check-fraud vendor first. Positive pay often arrives from the core or the digital-banking provider. Image analysis may arrive as a core add-on (Fiserv describes Check Fraud Defender with Mitek) or inside a FRAML platform (Verafin, on the BSA/AML listing).

Ask three things in writing. What is included in the contract you already have, and what is a separate module? Who staffs the alert queue the day after you turn it on? Can the tool see the check image archive, or only a transaction code?

Jack Henry, Fiserv, and Q2 are the parent listings. Do not expect a product-level row for Positive Pay or Check Fraud Defender.

Controls that are not software (but buyers ask)

Software is not the whole file. These notes are context, not legal advice. Ask counsel and your BSA officer before you change a hold policy.

FinCEN Alert FIN-2023-Alert003 ↗ (February 27, 2023) describes mail-theft check fraud. The alert PDF ↗ is the copy that lists red flags and the SAR key term. It describes check washing (chemicals strip the ink so the payee, and often the amount, can be rewritten), counterfeits built from a stolen check’s routing and account numbers, deposits at a teller, an ATM, or by remote deposit, and money mules who move the funds. FinCEN asks filers to put FIN-2023-MAILTHEFT in SAR field 2 and in the narrative, and to mark check fraud.

Mail-theft schemes are one way a mule account gets funded. When the question is the account that receives scam or fraud proceeds and moves them on, including from check deposits, see the money mule detection guide.

Red flags in that alert, paraphrased: a check deposit that does not fit the customer, followed by a fast withdrawal, a new account used to deposit checks and move the money, check stock that does not match the bank’s, and faded writing under darker writing. No single flag is enough. FinCEN says to refer possible victims to the U.S. Postal Inspection Service (USPIS ↗).

ICBA’s page, linked above, also describes a Postal Inspection Service partnership and says ICBA publishes its own guides on check-fraud liability and detection. This page is not those guides. Extended holds, a wait before a new account can use remote deposit, and warranty claims on altered checks are questions for counsel. This page does not answer them.

Demo checklist for a lean check-fraud team

Take this into the first demo. It is written for the desk you actually have. It is not a vendor’s question list.

  1. Channels in this proposal. Teller, ATM, mobile and remote deposit, and in-clearing. Which of those are in the quote, and which are a later module?
  2. Timing. When does the score arrive, compared with posting, and compared with the deadline you have to return an item? Ask counsel what that deadline is. Do not take the demo’s word for it.
  3. What the reviewer sees. Front and back image, earlier items on the account, and a reason code a person can explain.
  4. Consortium. Included, or an extra contract? Does it cover items that were deposited at other banks?
  5. Positive pay. If you are buying image analysis, does it read the issue file, or are those two systems silent to each other?
  6. Kiting. In this product, or only in the BSA platform you already run?
  7. Month-one alert volume. What range should an institution your size expect, and who clears it on a Tuesday?
  8. Feeds and integration. Which core and item-processing files are live today, and who does the connection work?
  9. First-year cost in writing. License, implementation, connections, and any per-item fee. BankToolkit does not publish a price.
  10. Examiner file. Can you show why an alert fired, what the desk did, and where that record lives?

What we still cannot cite

These stay empty on purpose:

  • Pricing. No public price menu on this page. Get the first-year number from the demo.
  • Scores and ranks. No stars, no composite score, and no “best overall.”
  • Search volumes. This guide does not publish keyword stats.
  • Detection rates, losses prevented, and consortium sizes. Vendor pages publish figures under different definitions. We do not repeat them, and we do not compare them.
  • Separate rows for every module. Q2 Centrix Positive Pay, Jack Henry Positive Pay, and Fiserv Check Fraud Defender are described on the parent listing. Parascript’s CheckStock.AI and CheckwashAlert.AI share one Parascript row. None of those products has a row of its own.
  • Whether Fraud Prevention listings cover checks. BioCatch, Featurespace, Feedzai, Sardine, and ThreatMark do not mention checks in their BankToolkit blurbs. Ask in the demo.
  • A core-by-core integration matrix. Channels, cores, and timing have to come from the vendor and your demo.
  • Legal rules. When an extended hold is allowed, and who owes what on an altered item, are questions for counsel. This page does not state them.

Quick answers

What check fraud tools do community banks use?

Community banks and credit unions usually combine a few tools rather than one. Common pieces are check image analysis and deposit-fraud analytics at the teller, ATM, and mobile deposit (to catch altered, counterfeit, and forged items), on-us or in-clearing review of checks drawn on their own customers, check-kiting detection (often inside a BSA/AML or FRAML platform), and positive pay for business customers. On BankToolkit as of October 29, 2026, Verafin and NICE Actimize are listed under BSA/AML, Fiserv and Jack Henry under Core Banking, and Q2 under Digital Banking. Abrigo, Mitek, Finovifi (FraudSentry), OrboGraph, Parascript, and Alogent are listed under Fraud Prevention.

Do we need check image analysis or positive pay?

They solve different problems, so many institutions need both. Positive pay compares checks presented against the issue file a business customer submits, so it only protects enrolled business accounts and the checks they write. Check image analysis and deposit analytics look at items deposited at your bank and at checks drawn on accounts that have no positive pay, such as most consumer accounts, to spot alteration, washing, counterfeit stock, and forged signatures. Payee positive pay narrows the gap by also matching the payee name. Kiting is a third, behavioral problem that neither tool fully covers on its own.

How do banks detect check kiting?

Kiting is detected from account behavior rather than from the check image alone: repeated deposits of checks drawn on the customer’s own or affiliated accounts at other institutions, rising or round-dollar amounts, heavy ATM or remote-deposit use, and balances built on uncollected funds. NICE Actimize describes that pattern on its check-fraud page, and Verafin names check kiting on its check-fraud page. Both are listed under BSA/AML. Extended holds under Regulation CC are a question for counsel, not a setting this page recommends.