Equifax Introduces Enhanced Synthetic Identity Fraud Detection

Equifax (NYSE: EFX) on January 23, 2026 launched Synthetic Identity Risk, an AI-powered fraud detection product using patent-pending machine learning to identify synthetic identity fraud.

Rhea-AI Summary

Equifax (NYSE: EFX) on January 23, 2026 launched Synthetic Identity Risk, an AI-powered fraud detection product using patent-pending machine learning to identify synthetic identity fraud.

The solution analyzes identity data, credit history and behavioral signals to detect fraud at account opening and to continuously monitor portfolios. Equifax reports an average charged-off loss of ~$13,000 per known synthetic identity (tradelines on/after Jan 1, 2022, reported as of Dec 2025).

Positive

• Launch of AI-driven product targeting synthetic identity fraud
• Patent-pending machine learning algorithms for fraud pattern detection
• Capability to detect fraud at account opening and during account management

Negative

• Average charged-off loss of approximately $13,000 per synthetic identity
• Synthetic identities can remain undetected for long periods, exposing lenders

Argus Jan 23 session

-2.03% close to close Open Argus

Details

News Market Reaction – EFX

On Jan 23, the day this news came out, EFX closed 2.03% below the previous close.

Data tracked by StockTitan Argus for the Jan 23 session.

Key Figures

Average synthetic identity loss: $13,000

Average synthetic identity loss

$13,000

Average charged-off loss per known synthetic identity since <b>Jan 1, 2022</b>

Historical Context

5 past events · Latest: Jan 16

5 events

1. Jan 16

   Consumer credit health data

   24h Move

   +0.2%

   Market Pulse Index showed incremental improvement in consumer financial health metrics.

2. Dec 17

   Patent portfolio expansion

   24h Move

   +0.6%

   Secured 27 new patents, reinforcing AI and cloud-based data and analytics strategy.

3. Dec 10

   New mortgage tool launch

   24h Move

   +3.0%

   Introduced Income Qualify and discounted VantageScore 4.0 mortgage credit scores.

4. Dec 04

   Government survey insights

   24h Move

   +0.7%

   Released Social Services Outlook Index highlighting automation and data priorities.

5. Dec 01

   Investor conferences

   24h Move

   -0.1%

   Announced participation in December financial and technology investor conferences.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

synthetic identity fraud, machine learning algorithms

2 terms

synthetic identity fraud financial

"Synthetic identity fraud occurs when fraudsters couple elements of a real identity..."

Synthetic identity fraud is the creation of a fake person using a mix of real data (like a Social Security number) and fabricated details to open accounts, get loans, or make transactions. It matters to investors because it can lead to hidden loan losses, rising compliance and insurance costs, and damaged trust in financial firms — like a business being tricked by a convincing fake customer who never intends to pay, reducing profits and raising regulatory risk.

machine learning algorithms technical

"This new product leverages sophisticated machine learning algorithms to uncover fraud patterns..."

Machine learning algorithms are computer programs that learn patterns from historical data to make predictions or decisions without following step-by-step human instructions; think of them as a teacher-trained assistant that recognizes trends and applies them to new situations. For investors, they matter because they can improve forecasting, automate trading, detect fraud, and personalize services—potentially boosting returns and cutting costs—while also introducing risks tied to data quality, model errors, and regulatory or transparency issues.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Next-Generation Fraud Detection Product Uses AI to Detect and Help Clients Prevent Synthetic Identity Fraud, One of the Fastest-Growing Identity Threats

ATLANTA, Jan. 23, 2026 /PRNewswire/ -- Equifax^® (NYSE: EFX) announced the launch of Synthetic Identity Risk, a next-generation fraud detection product that leverages AI capabilities to help businesses identify and prevent synthetic identity fraud, a complex and growing challenge that forces lenders to absorb significant financial loss. This new product leverages sophisticated machine learning algorithms to uncover fraud patterns that traditional methods may miss, detecting and flagging potential fraudulent activity before it impacts a company's bottom line.

Synthetic identity fraud occurs when fraudsters couple elements of a real identity and manufactured components to create a new, fictitious identity. These fabricated identities are used to fraudulently open credit accounts or obtain loans, on which the fraudsters eventually stop making payments. Because these fabricated applicants often appear legitimate, synthetic identities can go undetected for long periods of time, leaving lenders exposed to significant charge-offs and revenue loss. According to Equifax data, the average cost or charged-off loss per known synthetic identity is approximately $13,000.¹

Leveraging patent-pending technology, Synthetic Identity Risk analyzes identity data, credit history and behavioral signals to assess the likelihood of synthetic identity activity. Synthetic Identity Risk can be used to detect potential fraud at account opening or it can be used as an account management tool to continuously identify hidden portfolio risk. Applying a holistic approach allows enterprises to make informed, real-time decisions about identity verification and fraud prevention.

"Synthetic identity fraud is a rapidly growing threat impacting the consumer lending ecosystem," said Felipe Castillo, Chief Product Officer for U.S. Information Solutions at Equifax. "With Synthetic Identity Risk, Equifax strengthens lenders' fraud defenses, helping them to uncover hidden risks and ultimately shift from reactive loss recovery to proactive prevention. In doing so, they not only reduce their financial losses but they safeguard and build long-term trust with their legitimate customers."

For more information about Synthetic Identity Risk, please visit our website.

¹Average cost (or loss being charged off) for tradelines on or after January 1, 2022 reported to Equifax Consumer Credit Files as of December 2025.

ABOUT EQUIFAX INC.
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com. 

FOR MORE INFORMATION: 
Tiffany Smith for Equifax  
mediainquiries@equifax.com 

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/equifax-introduces-enhanced-synthetic-identity-fraud-detection-302668410.html

SOURCE Equifax Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is Equifax announcing with Synthetic Identity Risk (EFX) on January 23, 2026?

Equifax launched Synthetic Identity Risk, an AI-based product to detect and help prevent synthetic identity fraud.

How does Synthetic Identity Risk (EFX) detect fraud?

It analyzes identity data, credit history and behavioral signals using patent-pending machine learning to flag likely synthetic identities.

Can Synthetic Identity Risk (EFX) be used at account opening and post‑origination?

Yes. The product is designed for both account-opening checks and continuous portfolio risk monitoring.

What average loss figure does Equifax cite for synthetic identity fraud?

Equifax reports an average charged-off loss of about $13,000 per known synthetic identity (tradelines on/after Jan 1, 2022, as of Dec 2025).

What technology claim does Equifax make for Synthetic Identity Risk (EFX)?

The company says the product uses patent-pending machine learning and AI capabilities to uncover fraud patterns missed by traditional methods.

Where can firms use Synthetic Identity Risk (EFX) within their fraud programs?

Firms can deploy it for real-time identity verification at application and as an ongoing account management tool to identify hidden portfolio risk.