We’ve put together this glossary of cyber threat definitions as a resource for you in your quest to help make the internet a safer place for all!
DNS filtering provides network configuration controls for parental controls or online safety to protect against phishing attacks, malware, ransomware, botnets, etc.
In this blog, we explore malicious threats in the 5G era, as well as the significant trends and tech needed to secure next-generation wireless networks.
In this blog, we explore the most common DNS filtering misconceptions, provide clarification, and identify what separates premium solutions from the pack.
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.
This blog covers DNS basics, advantages, limitations, and scalability insights for how DNS filtering contributes to a strong, scalable security foundation.
Unfortunately, protecting yourself against malicious threats online is constant battle in this day and age. Security researchers and media outlets have a seemingly never-ending list of topics and events to cover—driving a constant pressure and awareness that we’re not safe online.
In a previous blog, we explored the important differences between base domains and full path URLs. In this post, we wanted to take a step back and cover the basics—the individual structural elements of a URL (Uniform Resource Locator).
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.