FraudNet is an AI-native fraud, risk, and compliance management software platform that helps financial institutions, fintechs, payment processors, and enterprise organizations detect and prevent fraud, manage risk exposure, monitor merchant compliance, and meet regulatory requirements in real time.

Designed for fraud operations teams, risk managers, compliance officers, and data scientists, FraudNet provides a unified platform that consolidates fraud detection, anti-money laundering (AML), KYB entity screening, sanctions and PEP screening, merchant risk monitoring, and transaction monitoring across cards, ACH, wires, and real-time payment rails (including FedNow and ISO 20022) into a single, integrated environment.

The platform serves banks, credit unions, payment service providers, merchant acquirers, fintechs, marketplaces, and digital commerce businesses processing high volumes of transactions that require adaptive, low-latency decisioning to reduce financial losses while minimizing disruption to legitimate customers.

FraudNet addresses core challenges common across the payments, banking, and financial services landscape: rising fraud rates and synthetic-identity attacks, growing regulatory complexity, high false-positive rates that create operational burden, and the need to act on emerging threats without lengthy model retraining cycles.

Key capabilities and features include:

• AI-native fraud detection and decisioning
• Merchant risk monitoring
• AML compliance and entity screening
• Network intelligence
• Data Hub

FraudNet is delivered as a cloud-based SaaS solution with SOC 2, PCI DSS, and FATF-aligned compliance certifications, supporting API-based integration with existing technology stacks for deployment without full legacy system replacement.