Equifax launches Signal Score tools to combat automated fraud
- Equifax launches Signal Score for Email and Device to detect automated fraud in real time
- Tools use proprietary first-party data to assess risk at checkout and sign-up portals
- Solutions integrate via APIs into existing fraud prevention systems without slowing legitimate users
- Designed to counter synthetic identity fraud and account takeovers across digital platforms

*this image is generated using AI for illustrative purposes only.
Equifax Inc. (NYSE: EFX) launched two new intelligence solutions, Signal Score for Email and Signal Score for Device, to help businesses mitigate automated fraud in real time. These tools target e-commerce retailers, financial institutions, and telecommunication companies facing sophisticated threats like account takeovers and synthetic identity fraud.
Real-time risk assessment capabilities
The new solutions leverage Equifax's differentiated data to evaluate risk at the start of a transaction. Unlike traditional tools that rely on static global networks or lagging database files, these scores use proprietary, first-party sourced data and unique identity linkage. This approach connects digital session behaviors with trusted, real-world consumer profiles to detect tactics such as script-driven account farming and location spoofing.
How the solutions work
The two products function as follows:
- Signal Score for Email: Evaluates an email address in real time by assessing account age, history, and risk level to determine trustworthiness.
- Signal Score for Device: Analyzes the computer or phone used in a transaction by connecting device details, location data, and network information to validate the electronic instrument against the user.
Integration and operational impact
Both Signal Scores connect directly to existing fraud prevention or case management systems through Application Programming Interfaces (APIs). This allows companies to enhance current fraud stacks without adding slow, extra steps for legitimate consumers. Businesses can deploy both tools together or select one to address specific data intelligence gaps.
Ajay Guru, Senior Vice President and General Manager, Identity & Fraud Services at Equifax, stated that businesses can no longer rely on static snapshots of customers to stop fraud. He emphasized that the new solutions deliver a trust score in real time, offering customers a better view of users to mitigate fraud more quickly.
What the Numbers Show
Equifax operates or has investments in 24 countries and employs nearly 15,000 people worldwide. The company positions these new tools as a response to the limitations of traditional checks, which cannot see behind digital blind spots created by VPNs and emulators. By spotting high-risk users early, the solutions aim to reduce manual review costs while maintaining a faster experience for honest consumers.
How will the adoption of real-time identity linkage impact the competitive landscape against established fraud detection providers like Sift or Kount?
What regulatory challenges might Equifax face regarding data privacy and cross-border data usage as these solutions expand across its 24-country footprint?
To what extent can API-based integration with legacy fraud stacks reduce false positive rates for financial institutions without increasing operational complexity?































