🆚 Riskified vs. Sift
- 📈 Riskified is four times more popular than Sift.
- 🌎 Riskified is more popular in the United States, Italy, and Canada.
- 🌍 Sift is more popular in Colombia, Estonia, and Laos.
Type
About
Riskified is a risk management platform that provides e-commerce merchants with automated risk-based decisions throughout the customer journey.
It uses machine learning plus behavioral, device, and proxy data to analyze hundreds of features per transaction in real time. It offers a chargeback guarantee (assuming approved orders later prove fraudulent), tools to reduce false declines, solutions to improve authorization rates, and dashboards for merchants to track performance and dispute 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
- ⭐ 4th most popular in Italy in the Fraud Prevention category.
- ⭐ 9th most popular in Canada in the Fraud Prevention category.
- ⭐ 9th most popular in Australia in the Fraud Prevention category.
- 🔥 13rd most popular in Germany 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.