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Sift is an AI-powered Digital Trust & Safety platform that helps businesses prevent fraud and abuse. Using real-time machine learning and a global data network, it protects against payment fraud, account takeovers, and content spam. Sift enables companies to grow securely by accurately identifying and stopping malicious activity while reducing friction for legitimate users, ultimately building trust and safety online.

5.0
Added
2025-08-11
Price type:
Paid
Monthly traffic:
85.6K

Sift Overview

Sift is a leading Digital Trust & Safety platform that leverages advanced AI and machine learning to protect online businesses from a wide array of fraudulent activities. The platform is designed to help companies innovate and grow without the fear of fraud, offering a comprehensive suite of tools that address the entire customer journey. By analyzing over 70 billion events per month from its global network, Sift provides unparalleled accuracy in its risk assessments, allowing businesses to make automated, real-time decisions to block bad actors and streamline experiences for trusted users.

The core of Sift's technology is its powerful machine learning engine, which continuously learns from a vast, global data network spanning thousands of websites and apps. This collective intelligence enables the platform to identify emerging fraud patterns and adapt its models in real-time, staying ahead of evolving threats. Sift's unified platform approach means businesses can manage different types of risk—from payment fraud to account security—through a single integration and a centralized console, simplifying operations and providing a holistic view of risk across their ecosystem.

How to use Sift

Integrating and using Sift is a structured process designed for developers and fraud teams:

  1. Integration: The primary method of integration is through Sift's robust APIs. Businesses send event data (e.g., account creation, logins, payment attempts, content posts) to Sift in real-time. Sift also offers SDKs for web and mobile to simplify the collection of device and behavioral data.
  2. Configuration: Within the Sift Console, fraud analysts and managers can configure Workflows. These are powerful, customizable rule-based systems that use Sift Scores and other data points to automate decisions. You can set rules to automatically 'Accept', 'Block', or 'Review' transactions and user actions based on their risk level.
  3. Analysis and Review: For cases flagged for manual review, the Sift Console provides a detailed analysis of each user and event. It visualizes connections between users, devices, payment methods, and other attributes, helping analysts quickly uncover fraud rings and make informed decisions.
  4. Automation and Optimization: By leveraging Sift's automated Workflows, businesses can significantly reduce the need for manual review, allowing their teams to focus on strategic initiatives. The platform's performance can be monitored through detailed dashboards and reports, enabling continuous optimization of fraud prevention strategies.

Core Features of Sift

  • Payment Protection: Proactively blocks fraudulent payments and card testing to reduce chargebacks and protect revenue, while ensuring legitimate transactions are approved.
  • Account Defense: Secures user accounts from automated and targeted account takeover (ATO) attacks by analyzing login behavior and device intelligence.
  • Content Integrity: Automatically detects and removes spam, scams, and other malicious content from your platform to protect your community and brand reputation.
  • Dispute Management: Automates the chargeback dispute process by gathering evidence and submitting responses, helping businesses recover lost revenue efficiently.
  • Global Data Network: Utilizes data from over 34,000 websites and apps, processing billions of events monthly to train its machine learning models and identify fraud trends.
  • Real-time Machine Learning: Delivers sub-second risk scores for every user action, enabling immediate and accurate fraud decisioning.
  • Customizable Workflows: A flexible, no-code rule engine that allows businesses to create and adapt decision logic to meet their specific risk tolerance and business needs.

Use Cases for Sift

Sift is versatile and serves various industries:

  • E-commerce & Retail: Preventing payment fraud, stopping promo abuse, and protecting customer accounts from takeover.
  • Fintech: Securing financial transactions, preventing new account fraud, and complying with regulations like PSD2/PSD3.
  • Marketplaces: Protecting buyers and sellers by stopping fake listings, payment scams, and fraudulent reviews.
  • Travel & Hospitality: Preventing fraudulent bookings, protecting loyalty program points, and securing customer data.
  • Social & Community Platforms: Fighting spam accounts, fake engagement, and the spread of harmful user-generated content.

Advantages of Sift

Sift offers a distinct competitive edge by turning risk into a growth driver. Key advantages include its ability to precisely differentiate between fraudsters and legitimate customers, which not only stops fraud but also reduces friction for good users, leading to higher conversion rates and customer loyalty. The unified platform simplifies the tech stack, reducing operational overhead. Its real-time, adaptive machine learning ensures that businesses are protected against both known and unknown future threats, allowing them to scale securely into new markets and product lines.

Pricing and Plans

Sift's pricing is tailored to the specific needs and scale of each business. The company does not offer standard public pricing tiers. Instead, they provide custom quotes based on factors such as transaction volume, the specific products required, and the level of support needed. To get pricing information, prospective customers are encouraged to contact the Sift sales team or request a personalized demo through their website.

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Traffic

Latest traffic

Monthly visits85.6K
Avg visit duration5:35
Pages per visit8.59
Bounce rate33.6%

Status

Falling-6.6%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 100.9K
  • 2026-1: 121.6K
  • 2026-2: 90.9K
  • 2026-3: 97.6K
  • 2026-4: 91.7K
  • 2026-5: 85.6K

Geography

Top 5 countries / regions

  • 🇺🇸United States
    33.1%
  • 🇬🇧United Kingdom
    30.4%
  • 🇦🇺Australia
    20.7%
  • 🇿🇦South Africa
    9.0%
  • 🇮🇳India
    6.8%

Traffic sources

Source typePercentage
Direct
92.6%
Referral
6.5%
Email
0.9%
Total
100%
Direct92.6%
Referral6.5%
Email0.9%

Top keywords

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