Reducing Mobile Fraud With Network APIs. A Live Discussion With AT&T, Verizon, and Nokia

Fraud

Payments

Nokia, AT&T, Verizon

Aug 27, 2025

Webinars

As digital fraud grows more advanced, increasingly powered by AI, traditional defenses like passwords and user-declared metadata are no longer sufficient. At the same time, financial institutions face mounting pressure to secure every step of the customer journey, from onboarding and login to transactions and account recovery.

This webinar explores how the mobile network industry is helping address that challenge. The data used to operate mobile networks has traditionally been available only to the operators. That is now changing. Through open APIs, telecom providers are making real-time network intelligence available to trusted partners. These signals can detect SIM or device swaps, and confirm user identity without relying on SMS or customer involvement.

Join experts from AT&T, Verizon, and Nokia to learn how network-based authentication and other signals provided by Network API are being used to reduce fraud, protect customer journeys, and strengthen digital trust. The session will include a live demo showing how real-time network insights can detect SIM swap attempts and support identity verification at scale.

The session will include:

A panel discussion featuring representatives from AT&T, Verizon, and Nokia, exploring how telecom operators and API aggregators collaborate to bring powerful capabilities such as silent authentication and SIM swap detection to North American merchants and financial institutions
A live demo showing how real-time network signals can enhance fraud detection and identity verification
Actionable insights for banks, merchants, and fintechs seeking to improve security and reduce fraud

Learning Objectives:

Understand how network APIs surface real-time events like SIM swaps and device changes to enhance fraud detection
Learn how to incorporate network intelligence into identity verification and risk scoring
Explore how 5G enables new fraud prevention use cases for developers and enterprise leaders

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