Leveraging newly developed AI and Machine Learning models, Veri-id constantly learns and adjusts through a feedback mechanism to increase risk prediction accuracy and detect new patterns of fraud.
AI models are designed to analyze huge amounts of transaction data, identify patterns and anomalies that are difficult for humans to detect. With the ability to process a large amount of information quickly, Veri-id eases the burden on your personnel and reduces the need for manual reviews.
Veri-id can recognize real customers and analyze their transaction habits through device information and historical records. When a transaction is deemed low-risk, frictionless authentication can be triggered to streamline the checkout process and improve success rates.
Easily combine Veri-id into existing 3DS programs for optimal protection against fraud.
The backend system is designed especially for non-technical users and any member on your team can quickly get a hang of it in no time.
Alike any other HiTRUST solutions, our experts are always ready to assist you with AI & ML model designing or system upgrades.
Multi-layered fraud detection to stop online attacks
Real-time risk strategy adjustment with AI & Machine Learning
Reduce workload and increase detection efficiency
A flexible and user-friendly management platform
Collaborate with others using the group users and access permission controls
A streamlined and hassle-free checkout process
Smooth shopping experience with no false declines
Comprehensive account protection against online fraud attacks