DataVisor Fraud Platform vs Ravelin

DataVisor Fraud Platform is a paid system for detecting and investigating financial crime across ACH, wire, card, loan, check, and crypto transactions. It combines real-time AI decisioning, adaptive detection models, and investigations. Device risk analysis uses fingerprinting, behavioral biometrics, emulator and rooting detection, and geolocation. A knowledge graph connects devices, behaviors, and entities to reveal possible links among fraud rings and laundering networks. DataVisor says its patented unsupervised machine learning can increase detection coverage by up to 92% by finding patterns missed by rules and supervised models. The platform states it can process over 15,000 queries per second and compute rich features in under 100 milliseconds. Case management consolidates alert review with audit trails, role-based access, and customizable workflows. AI agents can automate alert triage, rule tuning, and SAR/CTR narrative generation while retaining human oversight. APIs, SDKs, and event-driven integrations are supported, along with third-party signals and models including XGBoost, TensorFlow, PMML, and Dockerized models. Pricing is on request; the platform serves banks, credit unions, fintechs, and digital payments providers.

Ravelin is a paid fraud prevention and payments platform for online merchants and payment service providers, with pricing available on request. It covers payment fraud, refund abuse, account security, promotion abuse, partner fraud, 3D Secure, and transaction optimization. Its detection combines custom machine learning, graph networks, behavioral analysis, anonymized consortium data, and expert rules. Ravelin says its consortium database contains more than 9 billion anonymized identity elements and is GDPR-compliant. For payment fraud integrations, customers send transaction and dispute details through an API and receive a recommendation on whether to continue processing. Teams can test rules in a sandbox, predict impact, control the full ruleset, and generate rules from natural-language prompts. Ravelin Insights includes performance monitoring, transaction-anomaly investigation, an AI query builder, and custom reports and dashboards. Transaction optimization uses issuer behavior, PSD2/SCA intelligence, and risk signals to recommend payment routes. Integration options include API endpoints, browser JavaScript, and iOS and Android SDKs. The company says customers receive dedicated account, integration, product support, and data science teams.