Security and convenience. Most payment leaders treat these as opposite ends of a lever. Push one up, the other goes down. It is an assumption baked into how verification tools are designed, how fraud policies are written, and how risk budgets are allocated.
It is also often short-sighted.
Unfortunately, this assumption costs businesses. It frustrates the legitimate borrowers who make up the vast majority of your payment volume, and it may not actually stop determined fraudsters when poorly calibrated or incorrectly leveraged.
Here is the question you should be asking: how do I build verification into my payment environment that is precise enough to catch fraud and flexible enough not to punish legitimate borrowers who are just trying to pay?
The growing scale of identity-related fraud may surprise you.
The FTC’s 2024 Consumer Sentinel Network Data Book recorded approximately 2.6 million fraud reports and 1.1 million identity theft reports. Among identity theft categories, credit card misuse topped the list at 449,032 reports, followed by loan or lease fraud at 176,400, a direct signal that fraud risk isn’t merely an onboarding problem. It lives inside the payment experience itself. U.S. consumers reported more than $12 billion lost to fraud in 2024, with bank transfers and payments accounting for $2.09 billion in aggregate losses alone.
FinCEN’s analysis of identity-related suspicious activity adds institutional scale to that picture. In 2021, approximately 1.6 million Bank Secrecy Act reports were identity-related (42% of all BSA filings that year) representing $212 billion in suspicious activity. FinCEN explicitly frames this as a growing threat, with bad actors increasingly targeting account creation, account access and transaction processing.
For borrowers, Javelin’s 2026 Identity Fraud Study found that consumers lost $27.3 billion to identity fraud in 2025, affecting 18 million victims. New-account fraud victims rose 31%year over year, and account-takeover victims rose 18%. The average victim spent 10.4 hours resolving identity fraud issues, up from 9.5 hours just two years prior. This risk represents time, expenses and trust that borrowers lose and that your business absorbs in increased support costs and damaged relationships.
LexisNexis’s 2025 True Cost of Fraud study puts a sharper number on the business impact: every $1 of fraud loss costs U.S. financial services an average of $5.75 when total associated costs are factored in. And only 1 in 5 institutions primarily use automated fraud strategies; 44%still rely mostly or entirely on manual processes. The exposure is real. The operational response is not keeping pace.
Here is what gets lost in most fraud-prevention conversations: a poorly designed security layer stops fraud and legitimate borrowers, too.
LexisNexis’s 2025 North American ecommerce and retail research found that 64% of respondents said fraud hurt customer conversion rates through chargebacks and abandoned transactions triggered by the friction of security itself. Poor user experience was the primary driver of new account creation abandonment, cited by 36% of retail respondents and 37% in ecommerce. And 41% of U.S. businesses identified identity verification as a major challenge specifically at the point of new account creation.
Borrowers experience fraud controls as declined transactions. They see confusing prompts that stop a payment they need to make. They call your support team because something they could not explain went wrong. They may not come back.
The friction cost shows up everywhere. In conversion. In call volume. In borrower retention. And when false positives from overly strict identity verification outpace the fraud they are intended to prevent, the security layer becomes a problem of its own.
Account name validation is one of the most straightforward and effective tools for reducing both internal and external fraud: it confirms that the name on the card or bank account used for a payment or funding transaction matches the name on the customer’s loan account. When the names align, the transaction proceeds. When they don’t, the mismatch triggers a defined response.
Legacy identity validation tools used to have a credibility problem. They were rigid and overly strict. A first name abbreviation, like “Bob” instead of “Robert,” might have flagged a false positive. A hyphenated last name entered inconsistently could create a mismatch. A minor data entry variation from the original loan application could provoke a downstream delay that no one had the visibility to quickly resolve.
These tools were designed with compliance in mind. Unfortunately, borrower needs and expectations took a back seat.
The Identity Validation Services we offer are designed to do both.
Identity validation in today’s rapidly changing technological landscape can no longer rely solely on a one-size-fits-all approach. Name matching rules should be configurable based on your unique business needs and transaction types:
Validation should apply across the full range of payment and funding scenarios: new loan contracts, KYC due diligence, new or saved payment methods, one-time and scheduled payments, ACH credits and instant funding transactions. It should also run independent of a transaction entirely, via API integration or within the user interface, useful for ongoing due diligence without tying the check to a specific payment event.
When a name mismatch does occur, the response flow should be equally configurable, as it is in the Identity Validation Services offered by REPAY. For one-time payments, you can prompt for re-entry of payment information or request an alternative form of payment. For scheduled payments, you can process the transaction and log the mismatch for review, or cancel the payment and send notifications to both the business and the customer. Your risk posture and borrower experience priorities determine which response fits and you define it.
The assumption that securing a payment automatically means slowing the process is outdated and operationally expensive. Fraud losses are real, but so are the conversion costs, support overhead and borrower trust that erode when verification is too blunt of an instrument.
The smarter approach is verification built for nuance: flexible enough to account for the real-world variation in how borrowers enter their names, precise enough to catch actual mismatches that signal fraud or unauthorized activity, and configurable enough to give your team control over what happens next.
Identity validation, done right, is an essential modern feature.
To learn more about how our Identity Validation Services can work within your payment acceptance and instant funding workflows, contact REPAY today.