Commerce protection platform with guaranteed fraud decisions and chargeback recovery.
Signifyd is a fraud protection platform for commerce that scores orders in real time and, on approved orders, assumes the fraud liability itself — if a guaranteed order later turns into a fraud chargeback, Signifyd reimburses the merchant. It also handles dispute representment to recover revenue from non-fraud chargebacks. Merchants and payments teams use it to approve more orders without absorbing more risk. In the revenue stack it sits at checkout and in the post-payment dispute flow.
Which of the capability map's modules Signifyd covers — each links to the module's own page, with every tool that supports it.
| Module | Phase | Depth | Note |
|---|---|---|---|
| Run Revenue Operations | |||
| Fraud / Payment Risk Scoring | Collect & Recover | Core | real-time decisions with a financial guarantee on approved orders |
| Chargeback Management | Collect & Recover | Supported | representment and recovery for both fraud and non-fraud disputes |
The financial guarantee is the differentiator: most fraud tools sell you a score and leave the liability with you, while Signifyd's model shifts approved-order fraud losses onto Signifyd. That changes the buying conversation from model accuracy to economics — merchants can approve borderline orders they would otherwise decline, because the downside is underwritten.
When Signifyd approves an order under guarantee and that order later results in a fraudulent chargeback, Signifyd reimburses you the loss. You trade a per-order fee for certainty, and the incentive alignment is clean — Signifyd only profits if its approvals are actually good.
Both score risk with network-trained models. Signifyd centers on the guaranteed-decision model for commerce orders; Sift sells scores and tooling across a wider set of abuse types, with liability staying on the merchant. Choose based on whether you want underwritten checkout decisions or a broader risk workbench.
By overlap on the capability map — computed, not curated.