TransUnion is trying to help the financial services industry clean up the proliferation of credit washing that’s impacting auto finance and beyond.

To combat credit washing — the practice of removing legitimate, accurate and non-obsolete credit data from credit profiles — TransUnion this week rolled out its Credit Washing Solution to help financial institutions detect and thwart this growing threat.

In 2025, TransUnion said roughly 5% of U.S. consumers have had charged-off accounts suppressed for atypical reasons, with an estimated $10 billion in debt erased from credit reports by the end of the year.

Experts explained these atypical suppressions — driven by consumer, lender, credit repair and debt settlement practices — cause artificial increases in credit scores that can dramatically alter how a consumer’s risk is assessed.

Another TransUnion analysis showed a nearly 700% increase in consumer-initiated charge-off suppressions over the past two years, and a 200% increase in lender-initiated suppressions over the last four.

As these incidents continue to increase, TransUnion said its Credit Washing Solution offers a timely and powerful defense using advanced analytics and machine learning.

“Credit washing continues to be a significant detriment to the credit ecosystem with lenders experiencing great financial loss from consumers whose credit and fraud risk is not accurately represented due to missing credit history,” TransUnion global head of fraud Steve Yin said in a news release. “Our credit washing solution helps identify those consumers with hidden risk before they become a financial burden for lenders.”

The TransUnion Credit Washing Solution can enable lenders to route potentially high-risk consumers to manual review, optimize credit limits, and reduce early charge-offs. The solution offers three indicators:

—Credit Washing Default Score: A machine-learning model that identifies consumers with a history of charge-off suppression who may be at elevated risk of defaulting on new accounts within 12 months.

—Tradeline washing attributes: Algorithms that calculate changes in reported charge-offs across six lines of business (auto loan, bank card, collections, mortgage, personal loan, and retail card) and a range of time periods.

—Inquiry washing attributes: Algorithms that calculate changes in hard inquiries across four lines of business and six time periods.

The solution is initially available as add-ons to TransUnion’s credit and model reports and can be leveraged during prescreen, prequalification, and portfolio review processes.

Additional delivery channels and third-party platform integrations are in development and will be announced in the coming months.

“Our credit washing solution is a testament to TransUnion’s focus on developing innovative solutions that help our customers continue to grow their businesses while protecting themselves from bad actors,” said Jason Laky, executive vice president and head of financial services at TransUnion.

“Ultimately, this new first-in-class solution empowers lenders to proactively identify and manage credit washing risks, helping them make more informed decisions,” Laky continued.

TransUnion’s research also showed that following the suppression of derogatory data, an average consumer’s credit risk will be inflated by at least one risk tier, in extreme cases shifting from subprime to super prime overnight.

Furthermore, TransUnion pointed out consumers with atypical charge-off suppressions are 3.5 times more likely to charge off a new account within a year of account opening compared to consumers with no credit washing activity.

“It’s important to remember that credit washing is not the same as the removal or correction of inaccurate or illegitimate credit data, an important consumer protection to address genuine issues with a credit report,” Yin said. “On the other hand, when accurate data is suppressed for the purpose of presenting as a lower-risk borrower, that is a form of credit washing.”

To learn more about TransUnion’s Credit Washing Solution, go to this website.