🆚 NoFraud vs. Sift
- 📈 NoFraud is much more popular than Sift.
- 🌎 NoFraud is more popular in the United States, the United Kingdom, and Canada.
- 🌎 Sift is more popular in Colombia, Germany, and Mexico.
NoFraudType
About
NoFraud is an e-commerce fraud prevention solution that scans transactions on behalf of businesses and alerts them when a transaction is at high risk of fraud.
It employs a combination of machine learning algorithms and human oversight to provide real-time decisions, offering a 100% financial guarantee against fraud-related 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
- ⭐ 10th most popular in Canada in the Fraud Prevention category.
- 🔥 11st most popular in Australia 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.
Signifyd
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.