Soluções / Monitorização de Transações e Prevenção de Fraude com IA
UMCA's Monitorização de Transações com IA platform analyzes every transaction in real time, applying advanced machine learning and configurable rules to detect and block fraudulent activity across all payment channels.
Connect your transaction data via API or batch upload. UMCA supports all major payment types including cards, ACH, wire transfers, and digital wallets.
Every transaction is evaluated against your custom rule engine and AI models simultaneously. Behavioral profiles are updated in real time.
The platform returns an approve, decline, or review decision in under 30 ms, with a detailed risk score and matched rules.
AI models continuously learn from new data and analyst feedback. The built-in simulator lets you test new rules before deployment.
Get a complete view of your fraud landscape with UMCA's AI Dashboard. Interactive widgets, geographic map, and real-time transaction streams give your team instant visibility into threats as they emerge.
Build, test, and deploy fraud rules without writing code. Multi-condition logic, velocity checks, and merchant category filters. The built-in Simulator backtests rules against historical data before going live.
Purpose-built machine learning models trained on payment fraud patterns. Detect anomalies in customer behavior, transaction velocity, and spending patterns that rule-based systems miss.
Comprehensive dashboards and reporting to assess risk, track fraud trends, and measure team performance. Export for compliance reporting or integrate with your BI tools.
Train, validate, and deploy custom AI models directly in the platform. Track performance over time, compare versions, and roll back instantly. Automated retraining keeps models current.
Streamline fraud investigations with integrated case management. Assign cases, add notes, track resolution, and generate audit trails. Workflow automation routes alerts to the right analyst.
