zveloDB™ is the market’s premium URL database and web classification service, providing best-in-class accuracy and coverage. The zveloDB supports nearly 500 topic-based, malicious, phishing, objectionable and sensitive categories, powering the world’s leading Web and DNS Filtering, Endpoint Security, Brand Safety, Contextual Targeting, Subscriber Analytics, and other applications.
zvelo is thrilled that the recently released Gartner Magic Quadrant Report, published August 20, 2019, for cloud-delivered Endpoint Protection Platforms (EPP) prominently features a number of partners who rely on zvelo’s market-leading web classification and malicious detection services to power their offerings.
In this blog, we identify the five critical infrastructure requirements cybersecurity solutions MUST achieve maximum user protection from malicious threats.
We often get asked how we are able to attain such high levels of coverage with our URL database. Here, we explain our approach as well as how we got there.
In this blog, we explore the most common DNS filtering misconceptions, provide clarification, and identify what separates premium solutions from the pack.
HTF’s market study provides a comprehensive overview of the growing Web Filtering Service Market and projects “Phenomenal Growth” in coming years. zvelo is proud to power many of the web filtering market leaders. Helping build a safer internet for all with unmatched ActiveWeb coverage and accuracy.
This blog explores considerations and criteria for evaluating a URL database or classification technology partner that shares your commitment to success. We’ve outlined the important considerations and criteria for performing an evaluation of web filtering technologies. Protection, coverage, and accuracy are most important—but we’ll also show you how to prepare test URLs so that you can confidently compare multiple solutions and save time.
The purpose of this article is to provide a quick and easy visual reference the web filtering market segments and to identify where various services are positioned in the market and on the value curve.
In this blog, we explore the category updates that require real-time protection as well as how we deliver instant updates to URL databases worldwide.
One of the key factors for categorizing web content is, of course, understanding the target language of the content. By leveraging language translation, and applying machine learning and other techniques for categorization, we are able to achieve a high level of accuracy and consistency
Continuing with our series on bias, in this blog, we explore editorial bias and the challenges it presents in accurately categorizing forms of web content.