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
- Quote-based
- 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.
Features & capabilities
Payment Protection
Real-time fraud decisioning for transactions.
- Real-time fraud risk scoring at checkout
- Stolen-card and card-testing fraud detection
- Chargeback reduction
- Automated order accept/review/decline decisions
- Console for manual review of flagged orders
- Custom rule-building for risk strategies
Account Defense
Protection against account takeover and fake-account abuse.
- Account takeover detection
- Fake account / account-creation abuse prevention
- Login and authentication risk scoring
- Behavioral and device signal analysis
- Workflow automation to reduce manual review volume
Risk Intelligence & API
Programmatic access to Sift's underlying risk signals.
- Sift Score API for custom risk models
- Global network intelligence drawn from cross-customer event data
- "Clearbox" model transparency into signals behind a score
- Real-time event and decision webhooks
Platform & Services
Tooling and services to run a fraud operation at scale.
- Automation and workflows to reduce manual review
- Analyst review console
- Expert Services for fraud-strategy consulting
- Reporting on fraud losses and approval rates
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
ERP 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
Sift does not publish pricing; cost is scoped to the modules used and transaction/event volume. Get an independent shortlist with pricing guidance below.
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.
Evaluating Payment Fraud & Risk?
Tell us your ERP and requirements and we'll send an independent shortlist — including Sift and the best-fit alternatives — with honest pros and cons.