Online businesses face increasing threats from payment fraud, account takeovers, refund abuse, and promotional abuse, leading to financial losses and damaged customer relationships. Traditional fraud detection methods often struggle to keep pace with evolving fraud tactics, resulting in high chargeback rates and lost revenue.

Ravelin offers a fraud detection and prevention platform that combines machine learning and human insights to help online merchants grow safely. The platform analyzes transaction data and user behavior to identify and mitigate various types of online fraud, including payment fraud, account takeovers, refund abuse, policy abuse, and marketplace fraud. By optimizing transaction security and reducing chargeback rates, Ravelin enables businesses to accept more payments securely while protecting customer accounts and marketing investments. The platform adapts to specific fraud challenges, risk appetite, and organizational goals, providing granular, human-readable analysis alongside industry-leading machine learning technology.

Machine learning algorithms that adapt to evolving fraud tactics

Real-time risk scoring and fraud detection

Tools to prevent online payment fraud and reduce chargeback rates

Account takeover (ATO) protection to secure customer accounts

Refund abuse protection to identify and block fraudulent refund requests

Promo and policy abuse prevention to protect marketing investments

Marketplace fraud detection to keep online marketplaces safe

3D Secure optimization to reduce friction and churn

End-to-end support with dedicated account managers, integration specialists, product support, and data science teams

Ravelin primarily serves online merchants, marketplaces, and payment service providers seeking to reduce fraud losses, protect customer accounts, and optimize transaction security.