Feedzai
AI-native fraud and financial crime prevention platform provider.
Where Feedzai ranks
Current edition · updated Oct 20, 2026About Feedzai
AI-native fraud and financial crime prevention platform provider.
Products
End-to-end fraud and financial crime risk management platform delivering a unified approach across the entire customer lifecycle.
AI-powered fraud and AML strategy with pre-trained ML models, Responsible AI, Whitebox Explanations, Data Science Studio, and AutoML.
Suite of AI-native network intelligence solutions including IQ Score and IQ Signals for real-time fraud prevention without raw data sharing.
Continuous adaptive trust solution protecting customer sessions with behavioral biometrics, device intelligence, and malware detection.
Scam detection and prevention solution using transactional, behavioral, device, and network intelligence with built-in scam strategies.
Account opening solution that helps financial institutions detect fraudulent applications while ensuring a seamless experience for genuine customers.
Identifies potential AML and Terrorist Financing patterns using rules and trusted AI to prioritize alerts and reduce false positives.
Streamlines sanctions, PEPs, and transaction screening with automated alerts, decision documentation, and transparent audit trails.
Fraud protection and risk management solution tailored for acquirers and payment service providers.
What customers say
- Digital Trust
Feedzai reports that Banco BPI expanded Digital Trust use to recognize fraud patterns in real time and strengthen authentication and session monitoring. Early indicators suggest reduced fraud risk, while formal KPIs…
Case study - Case study
Feedzai reports that BigPay used its existing platform and analyst training to deploy cross-channel rules against money mules, reducing mule activity by over 90% in 60 days and neutralizing a new surge within 72 hours.
Case study - Case study
Feedzai reports that CoreCard reduced transactions declined for fraud by 46% and detected 64% of attempted fraud. Its team also enabled clients to create their own rules and queues.
Case study
Security and compliance
As reported by Feedzai. Ask for audit reports before you buy.
- fairness safeguards
- explainability safeguards
- governance controls
- data retention limited to 12 months for anti-fraud services
- privacy-by-design architecture (Digital Trust)
- federated learning architecture (raw PII does not leave customer environment)
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