🆚 Kount vs. Sift
- 📈 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 France.
Type
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.
Headquarters
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥉 Third most popular in Mexico in the Fraud Prevention category.
- ⭐ 10th most popular in the United Kingdom in the Fraud Prevention category.
- 🔥 12nd most popular in Canada in the Fraud Prevention category.
- 🔥 12nd most popular in Australia in the Fraud Prevention category.
- 🔥 14th 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
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,370,405 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.