Content Categorization Using Distributed Artificial Intelligence – Q&A with a zvelo’s Chief AI Scientist The technology company known for categorizing the web, zvelo, has found many applications for artificial intelligence and machine learning. In this brief question and answer session with its Artificial Intelligence Chief Scientist, Dr. Ignacio Giraldez, discover how zvelo uses artificial intelligence,…
ISPs, Telcos, device manufacturers, and security vendors go to great lengths to provide their customers’ with online security from malicious and objectionable content (adult, pornography, hate speech, terrorism, cryptocurrency mining, etc.). The industry’s best web filtering (and dns filtering) and parental controls are powered by a global network of over 600 million end users providing unmatched coverage and accuracy of active web traffic and websites. zvelo provides 99.9% coverage and over 99% accuracy for the ActiveWeb. That’s best-in-class URL classification database for OEMs and device manufacturers.
zveloDP™ Content Dataset Supports Page-level Granularity with nearly 500 Categories in Dozens of Languages Today zvelo announced the delivery of the enhanced Content dataset on the zveloDP. The enhancements of the Content dataset extends zvelo’s market leadership position established over the past decade of the most accurate and broadest coverage content categorization offering available. The…
zvelo, the leading provider of website and device categorization, today announced the launch of zveloDP – an open, scalable, Data as a Service (“Daas”) platform which provides access to page-level, traffic and device categorization (including malicious and profiling) datasets through easy-to-implement APIs.
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
This article will be updated periodically, in support of numerous global online safety awareness campaigns occuring every year – Safer Internet Day (promoted in February), Cyber Security Awareness Month (October),IWF Awareness Day (also in October) and others. During these times, web safety advocates, companies, organizations and professionals worldwide raise awareness about safer and more responsible use of online technologies and mobile devices. Following is a living repository of online resources, guides, tips and entities aimed at helping everyone enjoy worry-free Internet experiences. Additional web safety resources will be hand-picked and added as they are discovered. To possibly be included in this list, or if other online safety resources exist that deserve mention, please feel free to comment below. Including a link and a brief description with each comment helps.
The Web Filtering Provider was experiencing increased demand for a reliable, cost-effective and hosted web filtering offering to complement its existing hosted spam filtering service. With customers geographically distributed…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
Advertisements are everywhere, from print publications to road-side billboards, and of course TV and on the Web. The intent of advertising is no different regardless of the medium. Advertisers are constantly feuding to win over consumer sentiment. On the Internet, ad-serving technologies have become so advanced that ads can now be targeted based on one’s individual web browsing history and behaviors, likes, shares, location, device type and other factors. From time to time, however, ad placements land severely out-of-context, and here is one such example of online advertising gone bad.
Our willingness to surrender personal privacy in exchange for services that we now consider essential, as discussed in a previous article, has made it much easier for large governments and private individuals alike to collect information.