SI Fraud prevention

Signifyd

E-commerce fraud protection with a chargeback guarantee, run inside your Zenoo transaction and onboarding flows.

At a glance

Overview

Signifyd overview

Signifyd is an e-commerce fraud protection platform that automates order decisions and offers a chargeback protection guarantee. It suits high-volume retailers that want to automate fraud review at scale rather than run manual checks.

Company
Signifyd
Category
Fraud prevention
Strongest in
E-commerce fraud and chargeback protection
Best fit
High-volume e-commerce retailers

Where it is strongest

Key strengths

What Signifyd does well.

01

Strong fraud detection

Community reports cite high satisfaction with transaction scoring and an effective chargeback guarantee.

02

High automation

Automates order decisions to save review time and increase approved orders at established volumes.

03

Reliable at scale

Once integrated, developers report the core API flows perform well at high transaction throughput.

Who it suits

Best for

Where Signifyd fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • High-volume e-commerce retailers that can justify premium pricing and want to automate fraud review at scale
Considerations
  • Fit for smaller merchants. Some reports suggest the pricing suits larger volumes better than small stores or low-value products. Keeping Signifyd as one option in a Zenoo flow lets you route only the traffic where it pays off.
  • Conservative decisioning. Some reports cite a conservative model that can decline borderline legitimate orders. Zenoo lets you route declined or borderline cases to a second check rather than losing them outright.
  • Documentation depth. Some developers report the API documentation is thin in places. Zenoo builds and maintains the connector for you, which removes most of that friction.
You

Open the customer's case

What your team sees

The Signifyd result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
SignifydRecorded
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.