A leading CASB company required a highly accurate and extremely fast URL vetting solution to help identify links to malware and other malicious threats for cloud-hosted documents, applications and associated sync services.Details
zvelo is the provider of the most advanced URL Database for Web Categorization and Malicious Detection—designed for OEMs, device manufacturer’s, and Network Security vendors. zvelo’s content categorization engines power web filtering and parental controls, whitelists and blacklists for anti-virus companies, home network protection devices, and much more. By categorizing content into topic-based, objectionable, and malicious category groupings—zveloDB provides the most advanced malicious detection for advanced threat intelligence and cybersecurity.
How a competitive business intelligence platform provider for online advertising licensed zvelo’s contextual categorization engine to yield data sets from web pages used or ads including language, categories, sentiment, named entities, ad fraud detection and more to enrich their offering.Details
The customer, a leading digital video advertising platform provider that helps advertisers drive ROI, while providing publishers with maximum opportunities to monetize their inventories, required comprehensive…Details
A web content filtering vendor desired to incorporate a URL database and dynamic web content categorization into their web content filtering application and embed it into a child-friendly Android tablet to ensure safe…Details
The Ad Tech Platform Provider needed to enhance the depth and coverage of its business intelligence offering by extracting as much information as possible from web pages being used for online advertising by some of its…Details
The URL checker found on the zvelo.com homepage, previously known as the “Test-a-site” tool, serves to demo various contextual categorizations about URLs that can be derived by licensing zvelo contextual categorization and malicious website detection services. When queried, the URL checker yields a sample of data sets stored within the zvelo URL database, via…
The prospect, a leading provider of big data analytics solutions, had identified a need to capture, curate, categorize and visualize the massive amounts of web usage data sets stemming from mobile service providers…Details
If one performs the search “use www or not,” well over a billion results in many of the most popular search engines are returned. The focus of each result may differ. For zvelo, the usage is irrelevant because its contextual categorization processes are designed to identify and handle each component of a URL. At a simplistic view, the basic components of a URL are the following:
zvelo once offered 53 categories that were used to classify content on websites about Businesses & Services, Politics & Law, Portal Sites and others. This was later raised to 141 categories to help cover even more topics. The latest version boasts nearly 500 categories, making it one of the most granular categorization sets in the industry. We’ve managed to upgrade our categorization systems to better serve the needs of our existing and future technology partners and following is one example why this matters.
Given the dynamic nature of the majority of today’s websites, categorization at the full path URL versus the base domain is superior and now required. Parts of a website include the top-level domain (.com, .org, etc.), the base domain (example.com), sub-domain (subdomain.example.com) or sub-path (example.com/page). When categorizing content, it is highly important to recognize exactly what is being classified within a website because content can differ dramatically across full path URLs.