$2.90
210%
$14.7 Trillion
Retail Banking
New Applications and Transactions
De-risking Digital Banking
The Challenge
Retail banking services have become immensely more popular due to mobile applications and their associated convenience. Inherent in these apps is an immense increase in risks due to remote access and new technology.
The Solution
Early AI adopters have higher sales growth and profit margins — and the performance gap with the laggards is expected to widen further.
Customizations of models can further expose previously-undetected fraud or optimize for any risk-related outcome. Furthermore, multiple models can be applied to different transaction streams for maximum accuracy and flexibility.
Products to Ensure Trust and Beat Fraud
at Every Step of the Customer Lifecycle
Choose one or combine them for even stronger protection.
To the Victor Go the Spoils
Early experimentation with AI-enhancements in consumer banking is critical. Fraud.net makes the complex process of applying AI in risk-based use cases much easier. With minimal seed data about the transaction, Fraud.net can greatly increase the quantity and quality of the data, automatically test thousands of model algorithms and parameter combinations, and generate an optimized model, helping the bank make better decisions more quickly.
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.
