zvelo offers industry leading URL classification services.  zvelo collects, processes, and analyzes a continuous stream of URLs, representing the ActiveWeb traffic generated by its partner networks which service more than 600+ million end users globally. zvelo uses a proprietary AI-based URL classification engine to accurately categorize content, as well as detect objectionable, sensitive, malicious and phishing threats.

Categorizing 99.9% of the ActiveWeb

Categorizing 99.9% of the ActiveWeb with a Hybrid AI/ML Approach

Learn about zvelo’s unique hybrid approach to web content categorization and malicious detection. With over 20 years of experience and partnerships with some of the world’s leading anti-virus, MSSPs, and communications companies—zvelo’s next-generation approach achieves industry-leading coverage and accuracy for end users worldwide.

Homograph Attack | Internationalized Domain Name Attack

What is an IDN Homograph Attack and How Do You Protect Yourself?

An internationalized domain name (IDN) homograph attack is a method of deceiving computer users about the remote computer they’re communicating with. It exploits the fact that many characters are homographs, meaning they look alike. Homographs allow a malicious party to create an IDN that appears very similar to an established domain, which can then be used to lure users to the new website.

Secret To the Market's Most Accurate and Comprehensive Web Categorization Service

Secret to the Market’s Most Accurate and Comprehensive Web Categorization Service

Over many years or testing, trial and error, zvelo ultimately determined that a human-machine “hybrid” approach to classification produced the best outcomes. The Human element provided the verifications necessary for the highest levels of accuracy, while machines (ie. AI/ML models and calculations) provided the scaling necessary to deal with the incredible volumes of new URLs and content being published at an increasing rate.