zvelo responds to surge in Korean language websites needing to be categorized
Greenwood Village, Colorado – August 23, 2012 – zvelo, a leading URL database provider for OEMs, has announced full URL categorization support for Korean language websites. zvelo’s AutoCategorization (AutoCat) engine utilizes proprietary, artificial-intelligence technologies backed by quality assurance from a team of multi-lingual Web Analysts to categorize billions of new URLs across dozens of languages each day.
“We’ve seen a significant surge in Korean language website queries to our URL categorization systems,” explains David Duncan, zvelo’s Vice President of Engineering. “As these new sites come online, it’s critical that they’re categorized quickly and accurately for the benefit of our partners. This enhanced support strengthens the zveloDB™ URL Database offering in the Asia Pacific region, where a large majority of these sites are hosted.”
The zveloDB URL Database can be integrated via a lightweight, on-disk SDK or DNS cloud and made available for evaluation by interested OEMs.
About zvelo, Inc.
zvelo provides industry-leading cyber threat intelligence and URL classification data services. zvelo’s proprietary AI-based threat detection and categorization technologies, combines curated domains, threat and other data feeds, with the clickstream traffic from its global partner network of 600+ million users and endpoints to provide unmatched visibility, coverage, reach and accuracy. zvelo powers applications and solutions for the world’s leading providers of web filtering, endpoint security, brand safety and contextual targeting, cyber threat intelligence and analysis, and more.
