Mobile Fraud
65%
50%
<1%
Mobile Fraud Prevention
The majority of consumers now transact with digital organizations via mobile devices, and that new behavior has armed fraudsters with new strategies to obfuscate their identities and hide their methods. Gain insights into all types of digital devices in our mobile-first, always-on economy and as the ‘Internet of Things’ develops.
Recommended Products & Solutions
A user-friendly case management portal that allows you to set your own rules and review transactions efficiently and accurately.
Machine learning models are expertly engineered with the nuances of your business and industry already built in.
Visualize your real-time data to extract actionable insights, isolate risk and improve your business processes.
Shield serves as your early warning system by detecting malicious bots, fraudsters and other bad actors as they arrive on your site.
Monitor third-party data sources to benchmark your company’s performance including risk intelligence on payment methods, dark web data, IPS vulnerabilities and marketing channels.
Confirm users credentials through login scoring, multi-factor authentication or out-of-band applications.
Mobile-First Global Economy
Most new accounts and transactions are initiated over mobile devices. More than ever, catering to your customers’ desire for convenience also open you up to potential fraud.
A combination of device fingerprinting, behavioral biometrics, machine learning, and enterprise analytics can help you detect mobile fraud, maximize your approval rates as well as contain your new application and transaction fraud.
Make Better Decisions
Professional fraud rings have long been attacking merchants, shipping high-value goods to vacant homes, changing neighborhoods and IPs to circumvent existing detection efforts.
Professionals and opportunists can both be quickly exposed using machine learning, collective intelligence and ‘linked-entity’ analyses, all available in Fraud.net’s real-time enterprise detection and analytics platform.
