RI Fraud prevention

Riskified

E-commerce fraud prevention with a chargeback guarantee and real-time approve or decline decisions, run inside your Zenoo flows.

At a glance

Overview

Riskified overview

Riskified is an e-commerce fraud prevention platform built around a chargeback guarantee model and real-time approve or decline decisions. It suits mid-market and high-volume online merchants that want to reduce fraud losses and lift approval rates on legitimate orders.

Company
Riskified
Category
Fraud prevention
Strongest in
E-commerce chargeback protection
Best fit
Mid-market to high-volume online merchants

Where it is strongest

Key strengths

What Riskified does well.

01

Chargeback guarantee model

Riskified reimburses merchants for fraud losses on orders it approves, shifting fraud liability off the merchant.

02

Real-time decisions

It returns clear approve or decline outcomes at checkout rather than opaque fraud scores.

03

E-commerce depth

It has strong e-commerce expertise and proven integrations with platforms such as Shopify, with approval-rate uplifts reported for merchants.

Who it suits

Best for

Where Riskified 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
  • Mid-market e-commerce merchants seeking chargeback protection
  • High-volume online stores that want real-time fraud decisions
Considerations
  • Conservative decisioning. Some reports suggest conservative decisioning can decline borderline legitimate orders. Running Riskified within a Zenoo flow lets you route declined cases to a second check rather than losing the customer outright.
  • Focused on e-commerce. It centres on e-commerce fraud rather than KYC, KYB, or AML. Pair it with dedicated identity and screening providers in your Zenoo flow for full compliance coverage.
You

Open the customer's case

What your team sees

The Riskified 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
RiskifiedRecorded
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
Zenoo

Hands it to your team

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.