End-user protection
Fraud prevention
A financial transaction in instant payment systems is completed in just seconds. Within a fraction of this time, we need to collect all the data related to the transaction, evaluate it, and take action.
Financial fraud prevention and monitoring
Financial fraud prevention and monitoring
A financial transaction in instant payment systems is completed in justseconds. Within a fraction of thistime, we need to collect all the data related to the transaction, evaluate it, and take action. That is why we offer innovative approaches and cutting-edge tools that empower the fraud fighters to act swiftly, precisely, yet with the flexibility to adapt to any challenge.
A financial transaction in instant payment systems is completed in justseconds. Within a fraction of thistime, we need to collect all the data related to the transaction, evaluate it, and take action. That is why we offer innovative approaches and cutting-edge tools that empower the fraud fighters to act swiftly, precisely, yet with the flexibility to adapt to any challenge.
Due to its open, scalable architecture, our solution can accommodate all types of data from any source, from structured to semi-structured to unstructured, all without sacrificing fidelity.
The system's intuitive configuration interface gives fraud analysts the freedom to choose how they want to use the data for a possible fraud evaluation.
The system's intuitive configuration interface gives fraud analysts the freedom to choose how they want to use the data for a possible fraud evaluation.
Card acceptance
Cafeteria card transactions
Digital wallets
Card issuing
Request-to-pay
Credit application
Digital wallets
Audit logs
Account opening data
Cards
IT logs
Other external data sources
Accounts
Balances
Profiles
Customers
Devices' data
Geolocation
Employee data
Biometry data
Lists (Blacklists, Whitelists, etc.)
Profiles help to establish typical patterns of behavior based on collected events. Profiling can utilize various sources, including transaction data, master data, and the incidents themselves.
The use of scoring is aimed at identifying suspicious cases of fraud that rules alone may not detect. A score value is assigned to transaction fields, and this score is then interpreted by the rules to identify potential fraud.
Our Platform leverages machine learning to provide top-tier protection. It uses advanced correlations to detect complex fraud patterns and fraud trends. The self-learning capabilities can continually improve the accuracy to reduce false-positive hits.
The system allows configuring actions at the rule level beyond stopping transactions. Block cards and devices, send SMS or email alerts, or push notifications to end users. It's just a matter of integration.
Our platform offers powerful data exploration capabilities, enabling you to gain deeper insights into customers, transactions, and fraud trends. Through intuitive visualizations and comprehensive analytics, understanding complex data patterns becomes straightforward and efficient.
The system is designed to generate live dashboards and detailed reports effortlessly through a user-friendly drag-and-drop interface. Additionally, it can produce data extracts for regulatory compliance, ensuring that all reporting requirements are met efficiently and accurately.
