Sift

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Sift's AI fraud prevention platform helps 700+ global brands stop account takeover, payment fraud, and chargebacks in real time using a network of 1T+ annual events.

Automation & Agents

Data & Analytics

AI Models & Infrastructure

About

Sift is a leading AI-powered fraud prevention and risk-based authentication platform designed to help digital businesses detect and stop fraud while maximizing revenue. Powered by a global data network processing over 1 trillion annual events across 700+ brands and 1.6 billion authenticated digital citizens, Sift delivers split-second fraud decisioning with exceptional accuracy. The platform covers the full customer journey — from account creation and login through transactions and post-purchase activity — protecting against account takeover, payment fraud, chargeback fraud, first-party abuse, and content scams. Its core products, Payment Protection and Account Defense, use machine learning models and dynamic friction to block bad actors while keeping the checkout and authentication experience seamless for legitimate users. Sift's Fibr AI-powered platform includes advanced rulesets, automation, and the Sift Score API, enabling even lean fraud teams to scale operations efficiently. Customers like Poshmark, Harry's, Patreon, and Swan Bitcoin rely on Sift to protect revenue and build consumer trust. On average, customers prevent $4.2M in fraud losses annually. Ranked #1 in Fraud Detection by users on G2, Sift is built for digital commerce, fintech, online gambling, travel, food delivery, and internet software businesses. It is PSD2, SCA, PSD3, and PSR compliant, making it a fit for regulated industries.

Key Features

Global Fraud Intelligence Network: Leverages 1T+ annual events from 700+ global brands and 1.6B digital citizens to deliver highly accurate, real-time fraud signals.
Account Defense & Payment Protection: Dedicated products that guard against account takeover, payment fraud, chargebacks, and first-party abuse across the full user journey.
AI-Powered Risk Decisioning: The Sift Score API and Fibr platform use machine learning to make split-second risk decisions with minimal friction for legitimate users.
Dynamic Friction & Authentication: Applies risk-based authentication that challenges suspicious activity while keeping trusted customers moving smoothly through transactions.
Automation & Scalable Rulesets: Advanced rule engine and AI automation allow even small fraud teams to scale operations and respond to new fraud patterns quickly.

Use Cases

E-commerce platforms using Sift to reduce chargebacks and payment fraud during high-volume sales periods.
Fintech companies applying risk-based authentication to detect and block account takeover attempts in real time.
Online gambling operators leveraging Sift to prevent fraudulent account creation and bonus abuse.
Food delivery and travel platforms protecting against refund fraud and first-party chargeback disputes.
Lean fraud teams using Sift's automation and rulesets to scale operations without increasing headcount.

Pros

Massive Data Network: Access to 1T+ annual events gives Sift unmatched breadth for detecting emerging fraud patterns across industries.
Proven ROI: Customers prevent a median of $4.2M in fraud losses annually, with documented chargeback reductions of up to 85%.
Full-Journey Coverage: Protects every stage from signup and login to transactions and post-purchase, reducing exposure at all touchpoints.
Easy to Use for Lean Teams: Automation and intuitive tooling enable a single fraud analyst to manage a full fraud prevention operation effectively.

Cons

Enterprise Pricing: Sift is a premium, enterprise-grade platform — pricing may be prohibitive for small businesses or startups with limited budgets.
Complex Initial Setup: Integrating the full platform and tuning rules to fit specific business needs can require significant onboarding and technical resources.
Opaque Public Pricing: Pricing is not publicly listed, requiring a sales engagement to get a quote, which slows evaluation for smaller teams.

Frequently Asked Questions

Sift protects against account takeover, payment fraud, chargeback fraud, first-party abuse, content scams, and fraudulent account creation, among other threats.

Sift uses machine learning models trained on a global network of 1T+ annual events to score users and transactions in real time, flagging suspicious behavior with high precision.

Sift serves digital commerce, fintech, internet and software, online gambling, travel and transportation, and food delivery industries, among others.

Yes. Sift offers the Sift Score API, allowing developers to integrate fraud signals and risk scoring directly into their applications and internal risk models.

Yes. Sift provides solutions specifically designed for PSD2, SCA, PSD3, and PSR compliance, making it suitable for regulated financial and fintech businesses.