🆚 Sift vs. Signifyd
- 📈 Signifyd is much more popular than Sift.
- 🌎 Signifyd is more popular in the United States, Canada, and the United Kingdom.
- 🌍 Sift is more popular in Colombia, Estonia, and Russia.
SignifydType
About
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.
Signifyd is an e-commerce fraud protection platform that automatically reviews orders for fraud and recommends which orders to ship and which to reject.
It uses machine learning and big data from its Commerce Network to generate risk assessments in real time, offers a 100 percent financial guarantee against fraudulent chargebacks for approved orders, and supports workflow automation (capture payment, cancel order, void authorization, restock) based on its decision.
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
- ⬆️ 26th most popular in the United States in the Fraud Prevention category.
- ⭐ 4th most popular in Canada in the Fraud Prevention category.
- ⭐ 5th most popular in the United States in the Fraud Prevention category.
- ⭐ 6th most popular in Italy 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.
NoFraud
Riskified
Forter
Kount🗃️ 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.