Adaptive Machine Learning Models
Adaptive Behavioral Analytics models the real world in great detail, understanding anomalies by putting events into context, automatically detecting and preventing new and even the most sophisticated types of fraud and financial crime. Available as bank-grade standardized models for our solutions – including card fraud, application fraud, payment fraud, AML and merchant acquiring fraud – or customized according to your business needs. More >>
Automated Deep Behavioral Networks
Truly the next generation of Machine Learning, transformative Automated Deep Behavioral Networks undermines scams and protects against card and payments fraud more forcefully and accurately than ever thought possible. Automated Deep Behavioral Networks has been developed specifically for the Card and Payments industry. Its Recurrent Neural Network based architecture improves fraud detection across the board, especially high value – low volume and low value – high volume attacks.
ARIC Open Modeling Environment
A world-class platform for developing and deploying your own models using a suite of User Interface based and Command Line tools.
Adaptive Rules Engine
Utilize Adaptive Behavioral Analytics technology for adaptive rules which can be authored and configured by your risk analysts. Build rules and models customized for your environment and specific data sets.
Author new rules, models and thresholds – and test the impact of these changes against production data. A live sandbox function, allows a new model or ruleset to be fully tested against live data without affecting production decisions.