CSU Risk Solution, powered by AI, for fraud prevention and risk control at scale. A value-added solution on top of card processing.
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Scoring, detection and hyperautomated analysis.
The scoring engine captures, processes, and evaluates events based on incoming data to calculate the risk level of each transaction.
Leverages artificial intelligence to generate reports, statistics, and insights into fraud patterns, fraudster modus operandi, and emerging trends.
Machine learning models analyze user behavior, build behavioral profiles, and improve fraud detection efficiency.
Refine the scores generated by the Risk Module using profile-based adjustments, improving accuracy and reducing false positives (IFP).
Enables rule creation, simulation, and management, providing greater operational agility and governance.
Provides real-time customer communication through SMS and push notifications.
The platform combines business rules, artificial intelligence, and behavioral models to analyze each event in real time, calculate risk, and trigger automated actions that strengthen security and reduce operational impact.
Every transaction or event is received and processed by the platform in real time.
The Risk Module evaluates the incoming data, applies the configured rules, and generates an initial risk score.
Machine learning models analyze user behavior, and the Profile Module refines the score based on history and transactional profile, improving accuracy and reducing false positives.
The Rules Module determines the most appropriate action for each situation, enabling approval, rejection, or additional validation requests based on business strategy.
When needed, the customer is notified instantly through the channel, enabling quick confirmations and a better experience.
Artificial intelligence consolidates data, generates reports, identifies fraud patterns, detects new modus operandi, and delivers insights that continuously refine prevention strategies.
We combine machine learning and artificial intelligence to manage risk and prevent fraud with precision.
A robust, scalable infrastructure that integrates natively with the issuer's core systems, offers omnichannel support, and automates processes to speed up response times.
Every transaction is evaluated in real time using customized rules that balance security and approval, delivering decisions that are fast, safe, and aligned with your business.
Our risk and fraud-prevention specialists provide strategic support for decision-making, adding a human perspective that complements the technology.
An operation that monitors continuously, manages alerts and incidents efficiently, and acts proactively to reduce losses and improve the experience.
Yes. CRIS is a value-added solution that operates on top of CSU's card processing infrastructure, analyzing transactions and events in real time.
The platform combines business rules, scoring, machine learning models, and behavioral analysis to evaluate each event, identify fraud patterns, and calculate the transaction's risk level.
The Profile Module adjusts the risk score based on each customer's history and transactional behavior. This increases analysis accuracy and prevents unnecessary blocks on legitimate transactions.
Based on the rules and strategy defined by the institution, the platform can approve or reject transactions, request additional validations, and send real-time communications via SMS or push notifications.
Yes. The Rules Module allows you to create, simulate, review, and manage rules, providing greater agility in responding to new fraud patterns and stronger governance over risk decisions.
Whether you are launching a new program or migrating your current operation, our team is ready to map out the right fit for your business.
Our team of specialists is ready to deliver the solution for your business