Rule Engine
Risk decisions made automatedly
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.
Enhanced security improved risk rules
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.
Data ingestion
Easily import additional transaction data into the system for machine learning training and risk rules improvement.
Veri-id Risk Detection
For you
- Multi-layered fraud detection to stop online attacks
- Real-time risk strategy adjustment with AI & Machine Learning
For your team
- Reduce workload and increase detection efficiency
- A flexible and user-friendly management platform
- Collaborate with others using the group users and access permission controls
For your customers
- A streamlined and hassle-free checkout process
- Smooth shopping experience with no false declines
- Comprehensive account protection against online fraud attacks
AI Model
Explore countless possibilities with HiTRUST’s patented AI and Machine Learning models to fight fraud.
