Simility
Simility provides an end-to-end adaptive fraud prevention platform that has the ability to take virtually unlimited structured data feeds from across the enterprise and use advanced machine learning and data visualization techniques to detect fraud.
App Screens
Watch & Learn
Simility Adaptive Fraud Prevention Overview
Features
Device Fingerprinting & Behavioral Biometrics
Simility’s device fingerprinting technology predicts device risk based on attributes instead of a blacklist of devices. The behavioral biometrics correlates typing speeds, scrolling speed, preferred visit times, top cities, countries, devices, credit card numbers and nature of transactions for fraud prevention
Advanced Analytics & Machine Learning
The fraud detection technology is equipped with big data analytics to analyze huge data sets and identify specific fraud patterns or irregularities across customer and business data. The robust machine learning system can learn rapidly as frauds are tagged, constantly learning and self-calibrating as fraud trends change
Powerful Link Analysis with Intuitive Workbench
Simility combines behavioral biometrics and third-party feeds with machine learning, alongside rules-based fraud prevention to provide a precise, unified fraud decision interface. Sophisticated data visualization through the intuitive workbench helps to learn the telltale signs of fraud that are unique to each website
Benefits
Adaptive fraud prevention and risk management
Quickly adapt to changing fraud attacks by easily updating rules and ML models AND know impact of changes before adopting them
Easy to add any feed, within hours, without engineering
Fast response time and enterprise scalability
Deploy in days to weeks, not months to years
Intuitive UI
Designed from the beginning for a lower TCO
