🆚 Forter vs. Sift
- 📈 Forter is three times more popular than Sift.
- 🌎 Forter is more popular in the United States, Australia, and the United Kingdom.
- 🌎 Sift is more popular in Colombia, Mexico, and Estonia.
Type
About
The Forter Trust Platform provides identity protection, payment optimization and fraud prevention for digital commerce.
It uses a global identity graph, data from thousands of merchants, and machine learning to issue most decisions in under half a second. In addition, it includes tools for reducing false declines, optimizing 3DS and issuer interactions, and preventing abuse like fake accounts, chargebacks, and promo-fraud.
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
- ⭐ 8th most popular in Australia in the Fraud Prevention category.
- 🔥 15th most popular in the United States in the Fraud Prevention category.
- ⬆️ 27th 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 3,375,483 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.