TransUnion Launches Fraud Scores for Credit Denials, Targeting Credit Washing and Synthetic Identities
TransUnion announced Oct. 20 the launch of two fraud detection scores that allow lenders to identify synthetic identity fraud and credit washing risks while providing specific reasons for credit denials under the Fair Credit Reporting Act (FCRA). The new tools could help financial institutions identify potentially fraudulent borrowers before extending credit, with implications for credit reporting, receivables management and regulatory compliance.
The company’s new Credit Washing Score and Synthetic Fraud Score incorporate adverse-action reason codes, allowing lenders to include identified fraud risk factors in credit decisions and related consumer notices.
New Scores Target Two Types of Credit Fraud
According to TransUnion’s announcement, synthetic identity fraud and credit washing present substantial financial risks because fraudulent applications can resemble legitimate consumer credit activity.
Synthetic identity fraud occurs when criminals combine real and fabricated personal information to create false identities. These identities may establish credit histories, obtain multiple accounts and eventually default, leaving lenders with significant losses.
TransUnion estimates lender exposure to synthetic identity fraud reached $2.4 billion as of June 2026.
Credit washing involves improperly removing legitimate negative information from credit reports, often through fraudulent identity theft claims or disputes. By suppressing accurate records of delinquencies and charge-offs, individuals can appear more creditworthy when applying for additional financing.
TransUnion’s research found that consumers whose charge-offs were suppressed through credit washing were 3.5 times more likely to charge off a new account within one year. Among consumers classified as super-prime, that likelihood was 10 times higher.
These findings highlight the potential financial consequences when lenders cannot distinguish legitimate credit histories from manipulated records.
Fraud Risk Can Be Included in Adverse Action Notices
The new scores are designed to help lenders incorporate fraud detection into credit decisions while meeting existing consumer protection requirements.
Under the FCRA and Equal Credit Opportunity Act (ECOA), creditors have disclosure obligations when denying credit based on consumer reporting information. ECOA generally requires creditors to provide specific reasons for adverse decisions, while the FCRA establishes additional notice and dispute rights when consumer reports are used.
TransUnion says its scores produce adverse-action reason codes that allow lenders to identify relevant synthetic identity or credit washing risks in those notices.
The launch does not create new authority to deny credit. Instead, it provides additional information that lenders can use within existing regulatory requirements.
The Consumer Financial Protection Bureau previously emphasized in its 2023 guidance on artificial intelligence and credit denials that creditors must provide accurate, specific explanations for adverse decisions, including those involving complex algorithms.
Consumers retain applicable rights to obtain their credit reports and dispute inaccurate information. A fraud-risk score alone does not establish that an individual committed fraud.
TransUnion Partners With Oscilar as Competition Expands
TransUnion is integrating the scores with Oscilar, a financial risk management platform serving more than 100 financial institutions.
The integration allows lenders to evaluate fraud indicators and traditional credit information within a unified decision-making workflow, including the generation of adverse-action notices.
“Synthetic identity fraud and credit washing present unique challenges because they can conceal risk behind seemingly legitimate consumer profiles,” said James Garvert, executive vice president of global fraud and communications solutions at TransUnion.
TransUnion is not the only major credit bureau expanding fraud detection within regulated lending decisions.
In January 2026, Equifax introduced its Credit Abuse Risk model, which uses FCRA-regulated data to identify patterns associated with credit washing and loan stacking. The model also provides adverse-action reason codes.
The two launches reflect increasing investment in fraud analytics that connect credit risk assessments with consumer disclosure requirements.
Implications for Receivables Management
For the accounts receivable management (ARM) industry, improved detection of synthetic identities and credit washing could influence portfolio quality, credit reporting accuracy, and debt recovery strategies.
Earlier identification of potentially fraudulent accounts may help originating creditors reduce losses before those accounts enter collections. Debt buyers and portfolio managers could also benefit from a clearer understanding of fraud-related risks when assessing receivables.
Credit washing presents a particular concern for organizations responsible for furnishing accurate account information to consumer reporting agencies. Fraudulent disputes can obscure legitimate repayment histories, while incorrectly identifying legitimate disputes as fraud could create additional compliance exposure.
Organizations implementing fraud detection tools should distinguish suspected misconduct from verified fraud and maintain appropriate procedures for investigating disputes, correcting inaccurate information, and documenting credit decisions.
As lenders increasingly combine fraud analytics with traditional credit scoring, ARM organizations may encounter more detailed fraud-related account information throughout the credit lifecycle. The effectiveness of these tools will depend on their accuracy, integration into existing systems, and compliance with consumer protection laws.
