FraudNet vs. Oscilar

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

Oscilar is the agentic risk platform for banks, credit unions, sponsor banks, fintechs and crypto platforms. It brings onboarding (KYC/KYB), fraud detection, credit underwriting and AML transaction monitoring together on one no-code decision engine. Risk teams build workflows with a drag-and-drop builder or by describing the logic in plain English. They can test every change before it reaches production: backtest against historical data, run A/B tests, or deploy in shadow mode, where the new version runs side by side with the live one on real traffic without affecting decisions.