Sift
Sift is a real-time fraud decisioning platform for digital commerce, scoring payment fraud and account takeover risk inside your Zenoo onboarding flows.
At a glance
Overview
Sift overview
Sift is a machine learning fraud platform built for digital commerce. It scores payment fraud, account takeover, and content abuse risk in real time, using behavioural and device signals gathered across its network. It suits high-volume consumer businesses that need automated fraud decisions rather than manual review queues.
- Company
- Sift Science, Inc.
- Category
- Fraud prevention
- Strongest in
- Real-time fraud scoring for digital commerce
- Best fit
- High-volume e-commerce and marketplace platforms
Where it is strongest
Key strengths
What Sift does well.
Real-time fraud scoring
Machine learning models return payment fraud and account takeover risk scores in real time, designed for high-volume digital commerce.
Behavioural and device signals
Combines behavioural analytics with device intelligence, which public case material credits with catching fraud that static rules miss.
Replaces manual rules at scale
Published case studies describe teams moving off manual rule sets and expanding review capacity significantly after adopting Sift's automated scoring.
Who it suits
Best for
Where Sift fits, and what to plan for.
Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.
- E-commerce and marketplace businesses fighting payment fraud at high transaction volumes
- Consumer platforms that need account takeover prevention after onboarding
- Digital goods and fintech teams that want automated fraud decisions rather than manual review
- Fraud scope, not compliance scope. Sift is a fraud decisioning tool, not an identity verification or KYB product. Teams that also need document checks, AML screening, or business verification pair it with specialist providers, which sits naturally in a single Zenoo flow.
- Limited public technical footprint. There is little independent developer commentary in public channels, so evaluate documentation and SDK quality during a trial. Zenoo's managed connector reduces the integration lift either way.
Open the customer's case
What your team sees
The Sift 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.
What you can build
- Score payment fraud risk at checkout while KYC checks run in parallel
- Monitor accounts for takeover attempts after onboarding completes
About Sift
FAQs
Sift questions.
Does Sift handle KYC or KYB checks?
No. Sift focuses on fraud decisioning for digital commerce. In a Zenoo flow you combine it with identity verification, AML screening, and business verification providers so fraud and compliance checks run together.
What kind of business is Sift best suited to?
High-volume consumer businesses such as e-commerce, marketplaces, and digital goods platforms, where automated payment fraud and account takeover decisions matter more than deep compliance tooling.
Hands it to your team
Verification is the first step. Compliance Hub handles the rest.
Once a customer is verified, screening and review happen in Compliance Hub. A possible PEP match lands in your team inbox with the evidence and the full history beside it. Zenoo suggests, your team decides.
Pairs well with
VeriffAdd document and biometric identity verification ahead of fraud scoring in the same flow.CO
ComplyAdvantageAdd sanctions, PEP, and AML screening alongside fraud decisioning.MI
MiddeskVerify US business customers before applying transaction-level fraud checks. Alternatives
SardineFraud prevention · Sardine AI Corp.SE
SEONFraud prevention · SEON TechnologiesUN
Unit21Fraud prevention · Unit21, Inc.FE
FeedzaiFraud prevention · Feedzai, Inc. More in fraud prevention
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.