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Feedzai provides comprehensive financial crime risk management through its cloud-based RiskOps platform that unifies fraud detection, identity verification, and anti-money laundering capabilities in a single AI-driven system. The platform delivers real-time protection across the entire customer lifecycle from account opening through transaction processing and compliance monitoring.
The RiskOps approach synthesizes demographic information, watchlist screening, behavioral biometrics, device intelligence, account monitoring data, and transaction history to build complete risk profiles for each customer. This 360-degree view enables financial institutions to detect fraud patterns that traditional point solutions miss while reducing false positives and maintaining seamless customer experiences.
Feedzai's AI technology leverages advanced machine learning models with built-in safeguards for fairness, explainability, and regulatory compliance. The platform supports multiple financial crime prevention use cases including new account fraud, account takeover, transaction fraud, scam prevention, payment risk management, know-your-customer processes, transaction monitoring, and watchlist screening.
The unified collaborative platform enables fraud teams, compliance departments, and risk operations to work from shared data without silos. Teams access consistent case management tools, investigation workflows, and analytics dashboards that provide actionable intelligence for identifying emerging threats and optimizing detection strategies.
Feedzai serves retail banks, commercial banks, payment service providers, merchant acquirers, core banking vendors, and government agencies. The platform scales to handle massive transaction volumes with proven performance at the world's largest financial institutions, analyzing over 3000 payments per second and protecting more than 6 billion dollars in transactions annually.
The solution addresses diverse fraud and financial crime challenges including authorized push payment scams, account opening fraud, digital trust verification, merchant acquiring risk, synthetic identity fraud, money laundering detection, sanctions screening, and customer due diligence automation.
- Detect and prevent transaction fraud across all payment channels in real time using behavioral analytics and machine learning
- Verify customer identity during account opening with behavioral biometrics and device intelligence while reducing friction
- Monitor account activity continuously to identify suspicious behavior patterns indicating account takeover or synthetic identities
- Stop authorized push payment scams by analyzing transaction context and customer behavior before funds transfer
- Automate anti-money laundering transaction monitoring to identify suspicious activities and reduce false positive alert volumes
- Screen customers against watchlists and sanctions lists with automated risk-based decisioning for regulatory compliance
- Manage merchant acquiring risk by detecting fraudulent merchant applications and monitoring transaction patterns for acquirers
- Profile customer risk using know-your-customer data enhanced with behavioral signals and network intelligence
- Prevent mule account detection by identifying accounts used for money laundering through behavioral and transactional analysis
- Streamline case management workflows with unified investigation tools that connect fraud detection and AML compliance teams
- Deploy and update machine learning models rapidly to adapt to emerging fraud patterns and evolving threats
- Generate regulatory reports and suspicious activity reports with automated workflows that ensure compliance documentation
