Check A URL with zveloLIVE
zveloLIVE allows you to check a URL for its category and safety status. Found a Miscategorization? Report It!
At zvelo, we take great pride in the accuracy of our categorization and quality assurance processes. This results in incredibly low miscategorization (miscat) rates. We strive to deliver the most accurate URL database available; however, with any system—domains and URLs can change and miscats are inevitable. We’ve designed our systems and processes to rapidly address reports of miscats—and we treat these as a high priority.
zvelo delivers unmatched coverage and accuracy for categorization web content, traffic, and devices. The zveloDB® URL Database is the industry’s leading web content categorization and malicious detection solution with a wide range of category value mappings and taxonomies, including the IAB taxonomy, malicious website detection, piracy, objectionable content, and more. Using proprietary hybrid categorization and detection techniques that combine Artificial Intelligence, Supervised Machine Learning & Human Quality Assurance—zvelo categorizes over 99% of the ActiveWeb into nearly 500 categories, and supporting 200 languages.
Over 99.9% coverage of the ActiveWeb traffic, incorporating URLs that have been visited by our global network of 650 million users across Network Security, Ad Tech, and other markets.
We use AI/machine learning combined with human quality assurance to maintain over 99% accuracy for categorizing web content into topic-based, objectionable, and malicious categories.
Nearly 500 different categories, with exclusive category mapping which provides seamless and transparent integration with your required taxonomies, such as IAB or your own proprietary taxonomy.
Unmatched categorization scale and quality via comprehensive training datasets for each of our 500+ worker agents. Combining random daily sampling and human-verification for quality—empowers AI systems with a closed feedback loop that continuously improves accuracy of AI/ML models.
Interrogate threats at the URL and IP level and identify malicious activities such as malware, phishing, fraud, and spyware. We obtain a constant stream of URLs to analyze via a crowd-sourced model and combine static and behavioral analysis, 3rd party industry feeds, and human-supervised machine learning to deliver the most extensive malicious detection.
From endpoint security to perimeter security to UTM vendors to hosted security providers, zvelo covers the broadest spectrum of flexible and easy-to-integrate deployment options including cloud-based API, a local SDK, or as a raw data stream.
For real-time updates of newly categorized topic-based, objectionable, and malicious URLs, as well as daily database updates providing full mirror and incremental updates.
The categorized URLs and IPs are integrated into applications and solutions from leading Network Security, Ad Tech, and IoT Security vendors through the use of zvelo’s unique “category mapping” capability—as well as DNS RPZ through BIND. In these ways, zvelo’s 500 category values can be “mapped” to the specific category taxonomy requirements for each of our partners.
For example, zvelo offers the following customized category mappings for:
In addition to our exclusive Custom Category Mapping capabilities, zvelo offers a variety of highly granular and specialized mappings—right out of the box. Whether you’re in the network security or ad tech industry, custom mapping options provide advanced flexibility to integrate the industry’s #1 URL database in your existing infrastructure or solution.