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.
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.
Less than a decade ago, contextual was poised to dominate online advertising—delivering on the promise of providing relevant ad content to the consumer at exactly the right time. Over the past several years, the industry has taken a long and costly detour down the audience/behavioral path, only to hit what is increasingly looking like a dead-end due to regulatory, privacy, technical, and other issues. Now, the pendulum is rapidly swinging back to contextual.
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.
Search functionality is nearly ubiquitous in our home and business services and devices making safe search more important than ever before. In this post, we explore how service providers and cable operators can implement safe search filters and guards to protect users from objectionable content.
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
This blog covers DNS basics, advantages, limitations, and scalability insights for how DNS filtering contributes to a strong, scalable security foundation.
Category mappings provide flexibility and customization of URL categorization data—delivering advanced control for web filtering, parental controls, brand safety, ad fraud prevention, as well as other applications digital advertising, and more…
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.