# Sift **Source:** https://geo.sig.ai/brands/sift-science **Vertical:** FinTech **Subcategory:** Digital Trust & Safety Platform **Tier:** Growth **Website:** sift.com **Last Updated:** 2026-04-14 ## Summary Sift is a digital trust and safety platform using machine learning to detect and prevent fraud across account takeover, payment fraud, and content abuse. ## Company Overview Sift is a digital trust and safety platform that applies machine learning to detect and prevent fraud across multiple attack vectors — account takeover, payment fraud, fake account creation, content spam, and promotion abuse — using a global network of behavioral signals drawn from events across its customer base to continuously improve detection models. The platform's Global Data Network aggregates anonymized fraud signals from thousands of businesses, enabling machine learning models to detect emerging fraud patterns across the network before they reach any individual merchant, providing a threat intelligence advantage that improves as more companies contribute event data. This network effect model creates a compounding detection capability that individual companies cannot replicate with solely their own transaction history. Sift's platform covers the full scope of fraud types that affect consumer-facing digital businesses: payment fraud at checkout, account takeover through credential stuffing and phishing, fake account creation that enables downstream abuse, and content fraud including fake reviews and spam listings on marketplace platforms. Each product module contributes behavioral signals to a unified customer risk score that evolves in real time as a user's session progresses, allowing dynamic decisions that reflect the cumulative context of a session rather than only the characteristics of a single transaction or event. Sift's console provides fraud analysts with case investigation tools, model performance dashboards, and testing environments for evaluating rule changes before deployment. Sift is headquartered in San Francisco and serves digital businesses across e-commerce, marketplaces, fintech, travel, and on-demand services — particularly companies where fraud directly affects gross margin through chargebacks and where fake account activity degrades the product experience for legitimate users. The platform competes with Kount, Signifyd, and Forter in the fraud prevention space, differentiating through the breadth of its trust and safety product suite that extends beyond payment fraud into account integrity and content abuse use cases that purely payment-focused fraud platforms do not address. ## Frequently Asked Questions ### How does Sift's Global Data Network help detect fraud patterns that a single company's data alone cannot reveal? Sift aggregates anonymized fraud signals from thousands of businesses, training its models on cross-network patterns so that a fraud technique emerging on one platform can be detected on another before it scales — an intelligence advantage that an individual merchant's isolated transaction history cannot provide. ### What does Sift Digital Trust and Safety Platform do? Sift is a machine learning-powered fraud prevention platform that helps businesses detect and prevent payment fraud, account takeover, content abuse, and multi-accounting across their digital properties. Its global network of 70 billion events informs real-time risk scoring for every user action. ### How is Sift priced? Sift uses subscription-based enterprise pricing based on monthly decision volume (the number of events analyzed per month). Pricing is negotiated based on transaction volume, industry, and specific fraud products required, with contracts typically signed on an annual basis. ### Who are Sift primary customers? Sift serves e-commerce merchants, digital marketplaces, fintech companies, gaming platforms, and food delivery services. Notable customers include Airbnb, Twitter, Twilio, and DoorDash, who use Sift across various fraud and trust and safety use cases. ### What specific fraud signals does Sift analyze? Sift analyzes hundreds of signals including device fingerprint, IP reputation, user behavioral patterns, social graph connections, payment method history, email and phone reputation, and velocity patterns to produce risk scores for account and transaction events. Its network effects improve model accuracy as more businesses share signal data. ### How does Sift compare to Kount and Signifyd? Sift competes with Kount and Signifyd in the fraud prevention market. Sift differentiates with its broader trust and safety platform covering non-payment fraud use cases like content moderation and account abuse, while Signifyd offers a chargeback guarantee model. Kount is stronger in traditional card-not-present fraud for retail. ### What is Sift chargeback protection model? Sift Score for Payments provides risk scoring that merchants use to make approve/decline decisions, but Sift does not offer a traditional chargeback guarantee. Instead, it focuses on improving merchant decision-making accuracy to reduce fraud losses, while partners like Signifyd offer the financial guarantee model. ### What recent milestones has Sift achieved? Sift has continued expanding its platform beyond payment fraud into account integrity and content integrity use cases, reflecting the convergence of fraud and trust and safety operations at digital platforms. The company has grown its enterprise customer base and expanded its global fraud network through increased partnership integrations. ## Tags saas, b2b, enterprise, platform, ai-powered, security, fintech, security, analytics --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*