Logical decisioning for risk management
Based on the fundamental concept of logic, the engine allows users to implement rules in different forms to leverage automated decision-making. When detecting potential fraud in a transaction, Veri-id's rule engine prompts the decision path based on various attributes including historical transaction records and risk score.
Rule engine and flagging
Once a suspicious activity is identified, the rule will be flagged for review. As a result of the flag, Veri-id users can opt for preset automated actions to accept or deny a transaction, or proceed the case into further analysis and make decisions from there.
Improve risk rules for enhanced security
Every time a flagging activity occurs, the risk manager will be notified, actions will be taken, and Veri-id does not stop there. Using a constant feedback mechanism, risk rules are improved over time when combined with AI models and Machine Learning to increase accuracy for future activity.
Combine with EMV 3DS
Easily combine Veri-id into existing 3DS programs for optimal protection against fraud.
Manage risk automatedly
Preset automated actions for your specific needs and save time on overloading manual reviews.
AI-supported rules improvement
Easily import additional transaction data into the system for machine learning training and risk rules improvement.
