About
Ravelin is an AI-native fraud prevention and payment security platform designed for ecommerce businesses, marketplaces, and digital merchants. Its core mission is to protect the entire customer journey — from account creation and login through checkout and post-purchase — without compromising conversion rates or customer experience. The platform tackles multiple fraud vectors from a single interface: online payment fraud and chargebacks, account takeover (ATO) attacks, refund and returns abuse, promotional and voucher abuse, and supplier or partner fraud in marketplace environments. Each solution is powered by purpose-built machine learning models that adapt to evolving fraud patterns. Ravelin also provides a PSP-agnostic 3D Secure (3DS) and Strong Customer Authentication (SCA) solution that leverages real-time issuer intelligence, dynamic routing, and data enrichment to maximize payment approvals while meeting regulatory requirements. Key capabilities include automated risk decisioning for any payment method, behavioral analytics to distinguish good customers from fraudsters, and tools to rehabilitate opportunistic abusers rather than simply blocking them. The platform integrates via robust APIs and SDKs, making it developer-friendly for custom implementations. Ravelin is trusted by leading online retailers and platforms globally, offering measurable outcomes: higher acceptance rates, fewer chargebacks, protected marketing ROI, and secure account ecosystems. It is best suited for mid-to-large ecommerce operators, digital marketplaces, and payment-intensive platforms looking for an enterprise-grade, adaptive fraud prevention partner.
Key Features
- Online Payment Fraud Prevention: Automated risk decisioning across all payment methods to block fraud, reduce chargebacks, and increase acceptance rates without sacrificing security.
- Account Security & ATO Protection: Purpose-built ML models detect account takeovers and multi-accounting at login and checkout, protecting users while optimizing the journey for legitimate customers.
- Refund & Promo Abuse Detection: Accurately distinguish acceptable customer behavior from abuse — confidently process genuine refunds and redemptions while blocking fraudsters and policy violators.
- PSP-Agnostic 3D Secure & SCA: Manage your full authentication strategy with Ravelin's 3DS solution, using real-time issuer intelligence and dynamic routing to maximize approvals and stay compliant.
- Marketplace & Partner Fraud Detection: Identify and prevent supplier, partner, and marketplace fraud to protect platform integrity and safeguard your bottom line.
Use Cases
- An online retailer uses Ravelin to automatically score every transaction for fraud risk, reducing chargebacks while approving more legitimate orders at a higher rate.
- A subscription platform deploys Ravelin's account security module to detect and block account takeover attempts at login, protecting user accounts and preventing unauthorized purchases.
- An ecommerce brand running flash sales uses Ravelin's promo abuse detection to ensure promotional vouchers are only redeemed by eligible customers, protecting marketing ROI.
- A digital marketplace integrates Ravelin to identify fraudulent suppliers and partners attempting to exploit the platform, keeping the ecosystem safe for legitimate sellers and buyers.
- A global merchant uses Ravelin's 3D Secure solution to dynamically route authentication challenges and maximize payment approval rates across different regions and issuers.
Pros
- One platform for all fraud types: Covers payment fraud, ATO, refund abuse, promo abuse, and marketplace fraud in a single integrated solution, reducing tool sprawl.
- Adaptive AI that evolves with threats: Machine learning models continuously adapt to emerging fraud patterns, keeping merchants protected against both known and novel attack vectors.
- Developer-friendly integration: Comprehensive APIs, SDKs, and documentation make it straightforward to integrate Ravelin into existing payment and platform infrastructure.
- Higher acceptance rates with less fraud: Automated decisioning is designed to approve more legitimate transactions while reducing false positives and chargeback rates simultaneously.
Cons
- Enterprise-focused pricing: Ravelin does not publicly disclose pricing, and the platform is primarily scoped for mid-to-large businesses, which may be a barrier for smaller merchants.
- Implementation complexity: Full deployment across all fraud vectors requires technical integration effort, which may demand dedicated developer resources and onboarding time.
- Niche use case: Ravelin is purpose-built for ecommerce and digital payments fraud — it is not a general-purpose security or analytics tool.
Frequently Asked Questions
What types of fraud does Ravelin prevent?
Ravelin covers online payment fraud and chargebacks, account takeover (ATO), refund and returns abuse, promotional and voucher abuse, and supplier or partner fraud in marketplace environments.
How does Ravelin use AI for fraud detection?
Ravelin uses purpose-built machine learning models trained on transaction, behavioral, and identity data to score risk in real time. These models adapt continuously to new fraud patterns, enabling automated decisioning without relying solely on static rules.
Does Ravelin support 3D Secure and SCA compliance?
Yes. Ravelin offers a PSP-agnostic 3D Secure solution that manages your entire authentication strategy in one place. It uses real-time issuer intelligence, dynamic routing, and data enrichment to maximize payment approvals while meeting SCA regulatory requirements.
Is Ravelin suitable for smaller businesses or startups?
Ravelin is primarily designed for mid-to-large ecommerce operators and digital platforms. Smaller businesses may find the platform's scope and pricing more suited to larger transaction volumes.
How does Ravelin integrate with existing payment infrastructure?
Ravelin offers a comprehensive suite of APIs, SDKs, and developer documentation, making it possible to integrate with existing PSPs, checkout flows, and platform architecture. It is PSP-agnostic and supports custom implementations.
