Feedzai
Bank-grade fraud AI, listed here so you know what you're not shopping for
score
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Feedzai is what fraud detection looks like at the top of the market: machine-learning models scoring transactions in milliseconds at the moment of authorization, trained on signal from a cross-institution network that sees around $9 trillion in payments. Chartis has named it the best enterprise fraud solution three years running. Tier-1 banks, card processors, and global payment networks are the customer list, and implementations run eight to twelve weeks with data-science involvement on both sides.
We'll be blunt about why it's in an SMB directory: because it dominates the 'AI fraud detection' search results you're probably reading, and you should know what it is before a comparison chart convinces you that you need it. You don't. There is no self-serve tier, no SMB pricing, and no version of Feedzai that makes sense below millions of transactions. If a vendor pitch ever name-drops 'Feedzai-grade' detection for your 40-person company, that's marketing weather, not a buying signal.
What an SMB should take from Feedzai's existence is the shape of the idea: fraud detection works best at the moment money moves, scored against behavioral history, with the weird ones held for review. Your payroll platform's anomaly flags (ADP's payroll preview, your bank's positive-pay service) are the small-scale version of exactly that pattern, and they're the version priced for you.
Pricing
Enterprise contracts only, no public pricing, no self-serve tier. Deals are scoped on transaction volume and modules, and land in six-to-seven-figure annual territory. Implementation takes 8–12 weeks with technical teams on both sides.
Features
- Real-time ML transaction scoring at authorization, sub-100ms latency
- Cross-institution fraud signal from a ~$9T payment network
- Behavioral biometrics detecting account takeover as it happens
- AML and fraud detection unified on one platform (RiskOps)
- Human-readable explanations attached to model decisions
- Case management tuned for high-volume analyst teams
- Genuinely best-in-class detection at authorization time, the awards reflect reality
- Network effects: fraud patterns seen at one member institution protect the rest
- Model explanations keep compliance teams and regulators satisfied
- Priced and scoped for banks and processors, SMBs are simply not the customer
- Multi-week implementation requiring data science resources you'd have to hire
- Its power assumes millions of transactions of training data your business doesn't generate
Banks, payment processors, and payment-network-scale fintechs scoring millions of transactions, with the analyst and data teams to match.
Every conventional small or mid-size employer reading this site. That's not a knock on the product, it's aimed at a different planet.
Screenshots
Supported countries
Deployed at financial institutions on five continents; Portugal-founded, with major US and UK operations.
Integrations
Feedzai alternatives
Tools worth comparing before you commit.