🆚 Kount vs. Sift
Compare technologies based on real-world usage data *- 📈 Kount is three times more popular than Sift.
- 🌎 Kount is more popular in the United States, the United Kingdom, and Canada.
- 🌍 Sift is more popular in Colombia, Germany, and the Netherlands.
KountType
About
Kount is a comprehensive suite of machine learning-based fraud detection and prevention solutions for e-commerce businesses.
It combines supervised and unsupervised learning to assign real-time risk scores to interactions, supports device fingerprinting, IP and proxy detection, and enables custom rules and flexible policy engines to block fraud, reduce false positives, prevent new account abuse, and manage chargebacks.
Sift is an AI-powered fraud prevention platform that provides payment protection, content integrity, and account defense.
It draws on behavior, device, and identity signals and a global data network of over one trillion annual events to generate real-time risk scores. It claims to reduce chargebacks significantly, detect and block account takeover attempts using device fingerprinting and MFA, protect against spam, scams, and phishing in user-generated content through text clustering, and integrate with custom workflows and rules engines for more precise fraud operations.
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Popularity
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Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 10th most popular in the United Kingdom in the Fraud Prevention category.
- 🔥 12nd most popular in Canada in the Fraud Prevention category.
- 🔥 13rd most popular in the United States in the Fraud Prevention category.
- ⬆️ 26th most popular in the United States in the Fraud Prevention category.
Popularity by domain category
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Our service evaluates the popularity of technologies by the number of websites using them.