🆚 Fastly Bot Management vs. Imperva WAF

Type

Bot mitigation tool
Bot mitigation tool

About

Fastly Bot Management is a security solution from Fastly that detects and manages automated bot traffic at the edge of its global content delivery network.

It applies real-time behavioral analysis, machine learning-based classification, device and request fingerprinting, and configurable mitigation rules to differentiate between human users, beneficial bots such as search engines, and malicious automation.

Imperva Cloud WAF protects websites from automated vulnerability scans, Layer 7 DDoS attacks, and malicious bots. It also provides advanced bot protection using device fingerprinting with over 200 attributes, threat intelligence feeds, managed rules, and attack analytics to block or control suspicious traffic.

Headquarters

San Francisco, California, United States
San Mateo, California, United States

Website

Pricing

Free version ❌
Custom
Free version ❌Free 30-day trial
SecureSphere WAF$7,000+/year

Categories

Bot Mitigation › Rank #9
Bot Mitigation › Rank #3

Popularity

Determined by the number of sites using each technology.

The Imperva WAF bot mitigation tool is 8 times more popular than Fastly Bot Management.
Total websites

Market share

Bot Mitigation

Popularity by country

Determined by the number of sites detected from each country.

Imperva WAF is more popular than Fastly Bot Management in all countries.
United States
United Kingdom
Japan
Spain
Australia
France
Canada
Germany
Italy
New Zealand

Awards

Popularity by domain category

Determined by the number of sites in each category.

Imperva WAF is more popular among sites focused on business, sports, and finance and banking, while Fastly Bot Management is more commonly used on education and reference sites.
Business
Education/Reference
Sports
Finance/Banking
Marketing/Merchandising
Online Shopping
Health
Government/Military
Travel
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#1,009
#1,156
#1,283
View more ➝

See also

🗃️ About This Data