Access the largest data network of trust and fraud-related signals to drive quick and accurate trust decisions. The Identity Trust Global Network links distinguishable fraud and trust identifiers from 32 billion annual interactions across 250 countries and territories, 75+ industries, 50+ payment processors and card networks, and decisions from thousands of fraud analysts to block payments and account takeover fraud in real time and enables personalized customer experiences.Learn More
Device Intelligence is a seamless blend of technologies – including device fingerprinting, AI-driven fuzzy matching, and advanced AI models – that allows businesses to collect detailed device information from site visitors and shoppers. With this information, businesses can deliver personalized experiences to known customers, and detect and stop fraud in real time.
Kount’s Email First Seen is an indicator of email trust, an integral part of the Identity Trust Global Network. Email First Seen allows customers to see the age of an email that appears in an interaction, enabling them to more quickly and accurately determine identity trust through identity verification and further improve fraud prevention effectiveness.
Trust levels are usually low when an email is new, as fraudulent activity and automated attacks often use new credentials. Native to the Kount platform, Email First Seen allows more than a half a billion email addresses to be accessible in real-time to inform fraud and trust decisions. Email First Seen has a direct impact on reducing chargebacks, manual reviews and false positives.
User Defined Fields are a Kount platform feature that allow businesses to capture additional text, dollar, numerical or date-related details from internal order management systems to help analyze orders and make improved and more automated accept/decline decisions.
The customizable fields can include information such as customer details, loyalty information, coupon codes, affiliate ID numbers, login details, and purchase details. The additional data can be used post transaction to reduce chargebacks, as information to automate decisioning for known, good customers, and to analyze and improve business operations.