Feedzai vs Sift
payment fraud & risk head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Quote-based | Subscription tiered on transaction volume |
| Deployment | Cloud | Cloud |
| Company size | — | Mid-market, Enterprise |
| Stated ERP integrations | None listed | None listed |
| Vendor | Feedzai | Sift |
Our take
Where Feedzai leads
- Stronger evidenced coverage on 6 of the 13 capabilities where they differ (led by authorized push payment (app) / scam detection and device intelligence & fingerprinting).
Where Sift leads
- Stronger evidenced coverage on 7 of the 13 capabilities where they differ (led by account takeover (ato) detection and custom risk-scoring api).
Where they differ
The 13 capabilities (of 51 in the payment fraud & risk taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Authorized push payment (APP) / scam detectionTransaction & Payment Fraud Detection | Core strength Scam / authorized-push-payment (APP) fraud detection | Not evidenced |
| Account takeover (ATO) detectionAccount Protection & Abuse Prevention | Not evidenced | Core strength Account takeover detection with login/auth risk scoring |
| Custom risk-scoring APIRisk Intelligence & Analytics | Not evidenced | Core strength Sift Score API for custom risk models |
| Public API & webhooksPlatform, Deployment & Integrations | Not evidenced | Core strength Real-time event and decision webhooks plus Score API |
| Device intelligence & fingerprintingTransaction & Payment Fraud Detection | Supported Device intelligence for compromised/spoofed devices | Not evidenced |
| Behavioral biometricsTransaction & Payment Fraud Detection | Supported Per-user behavioral baseline | Not evidenced |
| Card-testing & stolen-card detectionTransaction & Payment Fraud Detection | Not evidenced | Supported Stolen-card and card-testing fraud detection |
| False-positive reduction toolingSanctions, PEP & Watchlist Screening | Supported FairGBM patented bias-reduction technique for ML fraud models | Not evidenced |
| AML transaction monitoringAML Transaction Monitoring & Compliance | Supported | Not evidenced |
| Analyst manual-review consoleCase Management & Investigation | Not evidenced | Supported |
| Proprietary risk-intelligence databaseRisk Intelligence & Analytics | Supported Hyper-granular customer risk profiles and dashboards | Not evidenced |
| Cross-institution network intelligenceTransaction & Payment Fraud Detection | Supported Feedzai IQ cross-institution network intelligence | Core strength Global network intelligence drawn from cross-customer event data |
| Model transparency / explainabilityRisk Intelligence & Analytics | Partial FairGBM addresses bias, not full explainability tooling | Supported "Clearbox" model transparency into signals behind a score |
Both grade identically on the other 38 capabilities — see each product's full profile: Feedzai, Sift.
Feedzai vs Sift — FAQs
Is Feedzai or Sift better for ERP integration?
They state different ERP coverage: Feedzai lists no ERP integrations publicly; Sift lists no ERP integrations publicly.
Which is cheaper, Feedzai or Sift?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Feedzai and Sift should each cost you — and whether a third option belongs on your shortlist.