How AI is Transforming Identity Verification Security

Revolutionary AI solutions are designed to efficiently detect fraud while safeguarding the experience of legitimate users.

Award-Winning Leader in Identity Verification Innovation

This year, Juniper Research interviewed Keir Breitenfeld, recipient of the Platinum Award for identity verification innovation. Breitenfeld is the Senior Vice President of Experian’s North American Fraud & Identity business line, leading product management and portfolio marketing teams.

AI Powers Fraud Detection

Experian stands out with its AI-driven fraud detection solutions, which effectively distinguish real customers from bots. How? The company employs NeuroID’s behavioral analytics to examine keystroke patterns, mouse movements, browsing behaviors, and hundreds of other interactions. This enables it to detect deviations from typical human behavior, identifying risks without relying on personally identifiable information (PII).

Continuous Vigilance Against Fraud

The AI-based detection models are continuously updated to keep pace with evolving fraud tactics. Experian stays ahead of fraudsters, including those using next-generation bots designed to bypass behavioral barriers. It trains its bot detection models using a wide array of data, including behavioral analytics, device information, and network data.

Fraudster or Legitimate Customer?

Experian strikes a balance between detecting bots and minimizing false positives for legitimate users. Interactions are analyzed against typical user behavior, allowing for high precision in bot detection without compromising security for growth and conversion.

The company’s solutions highlight the role of AI in combating fraud. By integrating bot detection into its overall fraud prevention strategy, Experian demonstrates that technological innovation, combined with a deep understanding of fraudulent behaviors, can enhance online user security and trust.