Feedzai
Enterprise AI for real-time fraud, scam, identity-risk, and AML operations across financial services.
About Feedzai
Feedzai is an AI-native fraud and financial crime prevention platform built for banks, fintechs, and other financial institutions. It combines fraud detection, scam prevention, identity intelligence, and anti-money-laundering work within a unified RiskOps approach. Transaction, behavioral, and device signals feed real-time risk decisions across channels. Collective intelligence helps institutions identify patterns that may remain hidden when models rely only on internal history. Feedzai IQ Score can add network-derived scoring to an existing decision engine through one API, without forcing a full platform replacement. It uses federated learning to exchange risk signals rather than raw customer data, and integration can require as few as 15 data fields. Feedzai suits enterprise risk teams that need broad financial-crime coverage at operational scale. Purchasing starts with sales: fixed prices are not published, and evaluation should account for requirements discovery, integration, model governance, privacy review, and tailored contract terms.
Best for
Best use cases
Block sophisticated fraud and scam patterns before funds leave a customer's account.
Reduce false positives by combining behavioral, device, and transaction intelligence.
Modernize fraud scoring through an API while retaining the institution's current platform.
Compare before choosing
Consider Feedzai when broad fraud, identity, and AML coverage matters more than self-service setup.
Compare the tailored subscription and implementation effort with products that publish fixed prices.
Assess whether federated network intelligence adds value beyond models trained only on internal history.
Features
Real-time fraud decisions
Evaluate fragmented transaction signals in real time to identify fraud and scams while reducing avoidable false positives.
Identity and behavior monitoring
Combine behavioral and device intelligence to spot abnormal activity or signs of manipulation before customer harm occurs.
Anti-money-laundering operations
Detect suspicious activity consistently as regulatory requirements and a financial institution's product range change.
Network-derived risk scoring
Add Feedzai IQ Score to an existing engine through one API to use fraud patterns observed across a wider transaction network.
Pros
- Covers fraud, scams, identity intelligence, and AML workflows in one enterprise risk approach.
- IQ Score can augment an existing decision engine through one API without a complete platform replacement.
- Federated learning provides network risk signals without sharing raw customer data between institutions.
Cons
- Subscription prices are tailored, so buyers cannot estimate total cost from a public price table.
- Enterprise deployment requires integration planning, data mapping, governance review, and sales engagement.
- The broad RiskOps scope may be more platform and process than a small team needs for a narrow fraud check.
Pricing Plans
Enterprise subscription
- Fraud and scam prevention
- Identity risk intelligence
- Anti-money-laundering support
- RiskOps platform access
* Pricing information is for reference only. Please refer to the latest announcement on Feedzai's official website.