Sift
by Sift · Payment Fraud & Risk
AI-powered fraud detection platform for payment fraud, account takeover and abuse.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
- Salesforce Commerce Cloud
- Deployment
- Cloud
- Company size
- Mid-market, Enterprise
- Pricing
- Subscription tiered on transaction volume
- Founded
- 2011
- Headquarters
- San Francisco, United States
Overview
Sift is a fraud prevention platform that uses machine learning to help digital businesses stop payment fraud, account takeover, and account abuse. The platform draws on a global network Sift describes as processing more than 1 trillion events a year across roughly 2.1 billion authentic digital users, using that pooled signal to score risk for individual transactions and account events in real time.
The product is organized around two core modules: Payment Protection, which scores and screens transactions to reduce chargebacks and stolen-card and card-testing fraud while approving more legitimate orders, and Account Defense, which targets account takeover, fake account creation, and other account-abuse patterns. A Sift Score API exposes the underlying risk signals for teams that want to fold Sift's intelligence into their own proprietary risk models, and Sift also sells Expert Services for fraud-strategy consulting.
Sift is aimed at digital businesses in e-commerce, marketplaces, SaaS, fintech, food delivery, travel, and iGaming. It reports serving 700+ brands, including Yelp, Hertz, Patreon, and Kickstarter.
Modules & capabilities
Sift covers 12 of 51 capabilities we track in this category
24%- Real-time transaction risk scoringReal-time fraud risk scoring at checkoutCore strength
- Device intelligence & fingerprintingNot evidenced
- Behavioral biometricsNot evidenced
- Card-testing & stolen-card detectionStolen-card and card-testing fraud detectionSupported
- Authorized push payment (APP) / scam detectionNot evidenced
- Cross-institution network intelligenceGlobal network intelligence drawn from cross-customer event dataCore strength
- Adaptive machine-learning risk modelsSupported
“Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
Common use cases
- Screening e-commerce checkout transactions to cut chargebacks while approving more legitimate orders
- Detecting stolen-card fraud and card-testing attacks against a payment flow
- Stopping account takeover attempts on customer login and account-management flows
- Blocking fake-account creation and promo/referral abuse at signup
- Feeding Sift's risk scores into an existing in-house fraud model via the Score API
- Reducing manual fraud-review headcount through automated workflows
- Protecting marketplaces, subscription businesses, and fintech apps from CNP fraud
Strengths & considerations
Strengths
- Cross-customer network intelligence drawn from a large pooled event dataset (Sift reports 1 trillion+ annual events)
- "Clearbox" positioning: exposes the signals and model reasoning behind a risk score rather than a black-box output
- Covers both payment fraud and account-abuse use cases from one platform
- Prebuilt Salesforce Commerce Cloud cartridge for e-commerce storefronts
Used Sift with your ERP? Rate it in 30 seconds — it helps every buyer after you.
Rate itERP integrations
Cartridge available on the Commerce Cloud Partner Marketplace; generates a Sift Score at checkout and can auto-update or cancel orders based on workflow rules
Pricing
Full Sift pricing breakdown — cost at 25/100/500 seats, competitor rates & FAQs
Sift prices on transaction volume and quotes individually. Unlike Signifyd it does not take on chargeback liability — it supplies the risk decisioning and you keep the loss — which is why a direct rate comparison between the two is misleading. The trade-off is control and breadth: Sift covers payment fraud, account takeover, content abuse and promotion abuse across the funnel, where guarantee-model vendors focus on the payment decision. Get an independent shortlist with pricing guidance below.
What does Sift cost?
Sift prices by quote, like most of this category. Here is what actually drives your number — and what to ask before you get one.
8 of the 12 vendors we track in this category publish no list price at all.
Technical & security
- Hosting
- SaaS (multi-tenant)
- Compliance
- SOC 2 Type II, ISO/IEC 27001:2022, GDPR, CCPA
- Mobile app
- No
About the vendor
- Founded
- 2011
- Headquarters
- San Francisco, United States
- Ownership
- Private (venture-backed by Insight Partners, Union Square Ventures, Spark Capital, Stripes Group)
- Notable customers
- Yelp, Hertz, Patreon, Kickstarter
Alternatives to Sift in Payment Fraud & Risk
Sift — frequently asked questions
What does Sift protect against?
Sift is a fraud-prevention platform focused on payment fraud (stolen cards, card testing, chargebacks) through its Payment Protection module and account abuse (account takeover, fake accounts) through Account Defense.
Does Sift integrate with e-commerce platforms?
Sift publishes a prebuilt cartridge for Salesforce Commerce Cloud that generates a real-time Sift Score at checkout and can automatically update or cancel orders. It also exposes a Score API for teams to embed Sift's risk signals into other systems.
How is Sift priced?
Sift does not publish pricing publicly. Cost is quote-based, scoped to the specific modules purchased and the volume of events or transactions scored.
What size company uses Sift?
Sift is aimed at established digital businesses scaling transaction or account volume, reporting 700+ customers across e-commerce, marketplaces, fintech, travel, food delivery, and iGaming.
Compare Sift head-to-head
The Payment Fraud & Risk Buyer's Guide
Before you commit to Sift, see how it sits against the 12 payment fraud & risk systems we track — on capability, ERP integration depth and what each one actually charges for.
Payment Fraud & Risk Buyer's Guide
12 systems compared · 2026
ERP Research
- Sift compared side-by-side with 11 alternatives
- ERP integration checklist — what to verify before you shortlist
- The pricing questions that change the quote
- A Sift evaluation brief, included with the guide
Payment Fraud & Risk Buyer's Guide
Get a quote for Sift
Sift publishes a list price, but the number you pay depends on volume, modules and integration scope. Tell us your setup and we'll come back with a realistic figure and the alternatives worth quoting against it.