⚡ Fraud Prevention Software in the United States
Fraud prevention software is designed to detect, prevent, and mitigate fraudulent activities during digital transactions and user interactions, particularly in e-commerce, payments, advertising, and account access.
The United States of America (USA) is a North American country with a population of over 341 million people.
According to our research, fraud prevention software is detected on 1.4% of websites from the United States.
⭐ Most Popular in 2026
The following chart shows the top fraud prevention software in the United States in 2026, based on market share.
The most popular is
Authorize.net with a share of 23.8%, followed by ClickCease with 17.4% and
Visa Protect with 16.9%.
Authorize.net 23.8%ClickCease 17.4%
Visa Protect 16.9%
Arcot 10.1%
Signifyd 6.5%
Human 6.1%
Confiant 5.8%
AppsFlyer 5.5%
Datadome 4.4%Boltive 4.4%
ThreatMetrix 4%
TruValidate 3.9%NoFraud 3.8%
Kount 2.4%
Forter 2%
🚀 Highlights
Here is a list of the top solutions that is more popular in the United States than worldwide.
Differences between global and country rankings are shown in parentheses.
- 1.
Authorize.net (-1) - 2.
ClickCease (-2)
- 5.
Signifyd (-1)
- 6.
Human (-2)
- 7.
Confiant (-2)
- 10.
Boltive (-8)
- 14.
Kount (-3)
- 15.
Forter (-1)
- 16.
Plaid (-4)
- 19.
CHEQ (-4)
✨ Best Fraud Prevention Software
Below is a more detailed list of the top 25 of the 39 fraud prevention software solutions used on sites from the United States, ranked by their market share.
👉 See Also
- 🌎 Fraud Prevention in other countries
🗃️ 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 598,456 websites from the United States.
- We currently track the presence of 42 fraud prevention software solutions across the web.
- Of these, 39 were detected on websites from the United States.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.