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Equifax Debuts Real-Time Signal Scores to Combat Automated Fraud and Account Takeovers

By Lauren Towner · 24 September 2026

In brief: Equifax has launched Signal Score for Email and Device, two real-time intelligence solutions designed to help businesses detect automated fraud, account takeovers, and synthetic identities at the point of transaction.

Key facts
Product NamesSignal Score for Email, Signal Score for Device
Integration MethodApplication Programming Interfaces (APIs)
Target MarketsE-commerce, Financial Institutions, Telecommunications
Launch DateSeptember 23, 2026
Press Release: Equifax Debuts Real-Time Signal Scores to Combat Automated Fraud and Account Takeovers | Featured Image by FF News

Equifax has introduced Signal Score for Email and Signal Score for Device, a move that shifts fraud prevention from static database checks to real-time behavioral intelligence. For fintech professionals, this represents a significant attempt to close "digital blind spots" created by VPNs and emulators that often bypass traditional identity verification during account creation and checkout.

What was announced

The new Signal Score for Email and Signal Score for Device solutions are built to protect digital platforms, including mobile ordering apps, new account sign-up portals, and online checkout lanes. These tools are specifically aimed at financial institutions, e-commerce retailers, and telecommunications companies facing automated threats like script-driven account farming, location spoofing, and synthetic identity fraud.

The functionality of the two scores is divided by the identifier they analyze:

  • Signal Score for Email: This tool evaluates an email address in real time, assessing the account's age, historical usage, and risk level to determine if the digital identifier is trustworthy.
  • Signal Score for Device: This solution analyzes the computer or phone used in a transaction. It connects device details with location and network information to validate the electronic instrument against the user.

Unlike traditional industry tools that may rely on lagging database files or static global networks, these solutions utilize proprietary, non-public, first-party Equifax data. This allows the system to connect digital session behaviors directly to trusted, real-world consumer profiles. Both tools are delivered via Application Programming Interfaces (APIs), allowing firms to integrate them into existing fraud prevention or case management systems. Businesses have the option to deploy them individually to fill specific intelligence gaps or as a combined suite to enhance their overall fraud stack. Additionally, Equifax continues to offer Consumer Insights, which uses basic information to help businesses assess payment ability and prevent account takeovers.

"Businesses can no longer rely on static snapshots of customers to stop fraud. Leveraging our unique differentiated data, these new solutions are designed to deliver a trust score in real time, giving our customers a better view of a user and helping them to mitigate fraud more quickly."

Ajay Guru, Senior Vice President and General Manager, Identity & Fraud Services at Equifax.

The companies involved

Equifax (NYSE: EFX) is a global data, analytics, and technology company that has evolved significantly from its roots as a traditional credit bureau. Today, it positions itself as a critical infrastructure provider for the digital economy, leveraging vast repositories of consumer and business data to provide insights across the lending, insurance, and fraud prevention sectors. The company maintains a massive global footprint, processing data on millions of consumers and businesses to facilitate informed financial decisions.

In the identity and fraud space, Equifax competes by blending its traditional credit data with alternative data sources and real-time digital signals. This hybrid approach is designed to provide a more holistic view of consumer identity than can be achieved through credit files alone. The launch of the Signal Score suite follows a pattern of the company expanding its technological capabilities to address the vulnerabilities of the modern digital-first transaction environment. With 47 previous reports on the company’s activities, FF News has tracked its steady transition toward API-first, real-time intelligence services that cater to a global market.

What FF News has reported before

FF News has extensively covered Equifax’s strategic moves to bolster its compliance and identity offerings. This includes the report on how NOTO and Equifax UK Partner to Revolutionize Real-Time AML Compliance with Automatic Watchlist Monitoring, which highlighted the firm's focus on automation in the regulatory space. Additionally, the publication noted the company's collaborative efforts in the report Equifax and GBG Expand Global Partnership, reflecting a broader industry trend toward interoperable data ecosystems. Equifax's involvement in the wider fintech ecosystem was also evident when FinTech Scotland Launches Global Innovation Call for Responsible AI in Financial Services, an initiative that aligns with the company's push toward more sophisticated, data-driven decisioning tools.

What this means

This launch signals a definitive pivot in the arms race between fraud prevention and automated criminal tactics. By focusing on the "age" and "history" of digital identifiers like email addresses, Equifax is acknowledging that the mere existence of a data point is no longer proof of identity. The industry is moving toward a model where the "provenance" of a digital identity is as important as the identity itself. This puts significant pressure on legacy fraud providers who rely on public records or static blacklists. The central question for the sector now is whether these real-time scores can maintain low latency without increasing false-positive rates for legitimate consumers during the high-friction checkout process.

Frequently asked questions

How does Equifax Signal Score detect automated fraud?

Equifax Signal Score detects automated fraud by providing real-time trust scores based on proprietary, non-public data. It evaluates email account age and history, alongside device location and network information, to identify sophisticated threats like script-driven account farming and VPN-masked activities that traditional security checks often miss.

What is the difference between Signal Score for Email and Device?

Signal Score for Email evaluates the trustworthiness of an email address by assessing its age, history, and risk level in real time. Signal Score for Device analyzes the hardware used in a transaction, connecting device details and network information to validate the instrument against the user's real-world profile.

Can businesses integrate Equifax Signal Scores into existing systems?

Yes, both Signal Score for Email and Signal Score for Device are designed to connect directly to a company's existing fraud prevention or case management systems via Application Programming Interfaces (APIs). This allows internal risk teams to enhance their current fraud stacks without significant infrastructure changes.

About the companies

Equifax

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Companies in this story: Equifax

People in this story: Ajay Guru

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