Compare FraudSight vs. aiReflex

FraudSight effectively combats both in-store and online fraud while enhancing approval rates and reducing instances of false positives. This comprehensive fraud solution integrates exceptional data analytics, cutting-edge technology, and extensive expertise in payment fraud prevention to provide the most accurate assessments of transaction legitimacy. Operating as a cohesive card fraud prevention system, FraudSight safeguards commercial transactions across all platforms. By leveraging a robust framework that merges data intelligence, innovative technology, and expert insights, it ensures superior prediction of fraudulent activities. You can elevate your revenue by achieving higher approval rates while minimizing inaccuracies. The foundation of FraudSight lies in its state-of-the-art machine learning capabilities that continuously assess transactions in real-time during the authorization process, allowing for swift detection of potential fraud. Additionally, this multi-faceted strategy enables integration of your specific business policies and other top-tier fraud prevention tools, ensuring a tailored approach to safeguarding your commerce. This adaptability not only enhances security but also aligns with your operational needs.

Fraud.com's aiReflex is a digital risk and trust solution designed to simplify your fraud defences, making life easier for you and safer and fairer for your customers. aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud and improve customer trust. Everything you need to eliminate transactional and application fraud, including: - Transactional Orchestration - Adaptive Rule Engine - AI Engine (Supervised and Unsupervised Machine Learning) - Simulation Engine - Dynamic and static lists - Journey-Time Orchestration - OmniChannel Case Management - Centralised Fraud Reporting Contact us at fraud.com on how we can help you improve your fraud defence while reducing costs and improving customer experiences.