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Catching Fraud Before the Damage Is Done

Catching Fraud

Credit card fraud gets caught. Eventually. The problem is that “eventually” is usually too late.

The FTC reported that consumers lost more than $12.5 billion to fraud in 2024, a 25% jump over the prior year. The Nilson Report projects that global card fraud losses could exceed $400 billion over the next decade. These aren’t small numbers. And they keep growing.

But here’s the part that often gets overlooked: most institutions measure fraud by what they catch. The number of fraudulent transactions that were flagged. The number of  accounts that got shut down. How much was recovered.

Those are useful numbers, but they may be answering the wrong question.

They tell you how much fraud you found. They don’t tell you when you found it. And in fraud prevention, that timing gap is often where the real damage happens.

What Late Detection Actually Costs

When fraud is caught after the fact, the stolen funds are often just the starting point. Investigation costs pile on. Legal fees follow. Then come the regulatory filings, the charge-offs, and the customer remediation work. According to the LexisNexis True Cost of Fraud Study, North American financial institutions now spend more than $5 for every $1 lost to fraud once all of those costs are factored in. That figure has climbed roughly 25% since 2021.

Think about what that means in practice. A mid-size card issuer processing thousands of new accounts a month doesn’t need a massive fraud rate to run up six- or seven-figure remediation costs. And those numbers often don’t even include the harder-to-measure losses: the reputational hit, the customer attrition, the operational drag of reactive fraud workflows pulling staff attention weeks or months after the initial event.

The pattern tends to repeat across the industry. Post-fraud remediation tends to be significantly more expensive than pre-fraud prevention. Yet many institutions still put the bulk of their fraud detection resources on transaction monitoring, not on the onboarding process where fraudulent identities first enter the system.

What If You Moved Verification to the Front?

The window between fraud attempt and fraud discovery typically isn’t some unavoidable reality. It’s often a process gap. And it can be closed by moving identity verification to the front of the customer lifecycle instead of relying on back-end detection after an account is already open and active.

The most effective approaches tend to layer multiple forms of authentication together:

  • A live video session with a trained professional
  • Credential analysis that goes deeper than basic data matching
  • A notarized legal affidavit, signed under penalty of perjury, confirming the applicant’s identity before an account is ever created

When those layers are in place at account origination, two things tend to happen.

First, fraudulent applicants who might otherwise slip through automated checks get caught before any account exists. Synthetic identities, stolen credentials, manipulated documents: these are all far harder to pull off when a live person is reviewing them in real time, on video, in a recorded session.

Second, many fraudulent applicants simply walk away. This is the part that rarely shows up in any fraud report. When a prospective fraudster hits a requirement for live video verification and a notarized affidavit, the path of least resistance often leads them somewhere else. They self-select out before any attempt is even made.

That second effect is almost impossible to measure directly. But it likely represents real loss prevention. Fraud that never enters the system never generates an investigation, a charge-off, a regulatory filing, or a damaged customer relationship.

The Value of Fraud That Never Happens

Most fraud prevention tools get evaluated on detection rates. How many bad applications did the system flag? What was the false positive rate?

Fair questions. But they miss the most cost-effective outcome in fraud prevention: the fraud that never happens at all.

Deterrence doesn’t generate a report. There’s no investigation to conduct, no loss to tally, no SAR to file. That makes it invisible in most measurement frameworks. But every fraudulent application that gets abandoned before submission represents full cost avoidance. Not reduced losses. Zero losses.

The LexisNexis study found that 30% of fraud at U.S. financial services firms shows up at new account creation. Institutions that build more rigorous verification into that stage may be closing the single biggest vulnerability in their customer lifecycle. And when that verification includes a visible, human-driven process rather than a purely automated one, the deterrence effect compounds.

Running the Numbers on Early Intervention

The economics here are worth looking at closely.

At a remediation multiplier north of $5 per dollar lost, a $10,000 fraudulent account doesn’t stay a $10,000 problem. It balloons to $50,000 or more once investigation, legal, regulatory, and operational costs are layered in. Scale that across dozens or hundreds of incidents a year, and the total cost of catching fraud late dwarfs what it would have cost to verify every new account up front.

The per-account cost of a solid identity verification process, including live video, credential review, and notarization, is typically a fraction of the remediation cost of a single successful fraud event. For institutions handling high volumes of new accounts, especially in card-not-present environments where the cardholder is not physically present to swipe, insert, or tap their card and transactions are completed remotely through online portals, mobile apps, or over the phone, roughly 65% of card fraud losses occur. Front-end verification starts to look less like an added expense and more like a cost reduction strategy. 

This matters even more as fraud methods get smarter. Synthetic identity fraud reportedly surged 31% in 2025 and may now account for more than $23 billion in global losses. These are identities built from scratch, specifically designed to pass automated checks. They’re far less effective against a process that puts a live person on video and requires a notarized document.

Catching It Earlier Changes the Math

The question isn’t whether fraud will be caught. Modern detection systems are reasonably good at finding it after the fact. The question is whether it gets caught before or after the money is gone.

Institutions that move identity verification to the front of the customer lifecycle are shifting that equation. They can compress the window between attempt and discovery. They can cut investigation and remediation costs. And they can benefit from a deterrence effect that, while hard to pin down in a spreadsheet, may be the single highest-value outcome in their fraud prevention strategy.

Every fraudulent account stopped at origination, or never opened because the applicant abandoned a process they couldn’t beat, is a fraud event that may cost the institution nothing. No charge-off. No investigation. No regulatory filing. No reputational fallout.

That isn’t a compliance line item. That’s a cost-of-fraud reduction strategy. And the institutions that get there first will likely have the numbers to prove it.


Stopping fraud before it starts changes the cost equation. But what happens when fraud still gets through? The next question isn’t just whether you caught it. It’s whether you have the evidence to investigate it, document it, and support a legal or regulatory response. That’s where the verification record itself becomes the asset. Read the next article in this series: The Affidavit as Evidence: Why Financial Institutions Are Building Legal Records Into Verification.

Common Questions About Catching Credit Card Fraud

How much does credit card fraud actually cost financial institutions beyond the direct losses?

More than most institutions realize. According to the LexisNexis True Cost of Fraud Study, North American financial institutions now spend more than $5 for every $1 lost to fraud once investigation, legal fees, regulatory filings, charge-offs, and customer remediation are factored in. That multiplier has climbed roughly 25% since 2021. So a $10,000 fraudulent account isn’t a $10,000 problem. It’s a $50,000 one.

Why do most fraud prevention strategies focus on detection instead of deterrence?

Because detection is measurable. Institutions can count how many fraudulent transactions got flagged, how many accounts were shut down, how much was recovered. Deterrence produces a non-event. There’s no report, no investigation, no line item. That makes it invisible in most measurement frameworks, even though every abandoned fraud attempt represents full cost avoidance. Not reduced losses, but zero losses.

What is synthetic identity fraud and why is it harder to catch?

Synthetic identity fraud involves building an entirely new identity from a mix of real and fabricated data. It reportedly surged 31% in 2025 and may now account for more than $23 billion in global losses. These identities are purpose-built to pass automated verification checks. They’re far less effective against a process that puts a live person on video and requires a notarized document, because there’s no real person behind the identity who can show up and perform under that level of scrutiny.

How does front-end identity verification reduce fraud costs?

By catching fraud before an account ever exists. When identity verification happens at origination rather than after an account is open and active, fraudulent applicants can be stopped before they generate any losses. That means no charge-off, no investigation, no remediation. The per-account cost of a solid verification process, including live video, credential review, and notarization, is typically a fraction of what a single successful fraud event costs to clean up.

What is the difference between catching fraud and preventing fraud?

Catching fraud means identifying it after it’s already happened. The account was opened, the transactions went through, and the institution is now in recovery mode. Preventing fraud means stopping it before any of that occurs. The distinction matters because the cost profiles are dramatically different. Post-fraud remediation can run five times or more the original loss amount, while front-end prevention may cost a fraction of a single fraud event.

Can identity verification at account opening deter fraud attempts?

It can. When a prospective fraudster encounters a process that requires live video verification, credential analysis, and a notarized affidavit, the path of least resistance often leads them somewhere else. They may abandon the attempt entirely. That deterrence effect rarely shows up in fraud catch statistics, but it likely represents real loss prevention. The LexisNexis study found that 30% of fraud at U.S. financial services firms occurs at new account creation, which suggests that tightening verification at that stage may close the single biggest vulnerability in the customer lifecycle.

This post is for informational purposes only and doesn’t represent legal advice.

Sources Referenced

Federal Trade Commission, Consumer Sentinel Network Data Book 2024 (March 2025)

Nilson Report, Global Card Fraud Projections (January 2025)

LexisNexis Risk Solutions, True Cost of Fraud Study 2025, North America (September 2025)

Payments Dive, Card Fraud Losses Coverage (January 2025)

CoinLaw, Credit Card Fraud Statistics 2025 (January 2026)

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