zvelo’ AI & Machine Learning is developed using various methodologies, technologies, and systems including Human-supervised Machine Learning (HSML), Crowdsourced Network of Endpoints, Natural Language Processing & Machine Translation, Static, Behavioral, and Heuristic Analysis for Malicious Detection

Categorizing 99.9% of the ActiveWeb

Categorizing 99.9% of the ActiveWeb with a Hybrid AI/ML Approach

Learn about zvelo’s unique hybrid approach to web content categorization and malicious detection. With over 20 years of experience and partnerships with some of the world’s leading anti-virus, MSSPs, and communications companies—zvelo’s next-generation approach achieves industry-leading coverage and accuracy for end users worldwide.

Secret To the Market's Most Accurate and Comprehensive Web Categorization Service

Secret to the Market’s Most Accurate and Comprehensive Web Categorization Service

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.

ECD Nominates zvelo IoT as 2018 Top Innovator

Last year, zvelo announced our IoT Security Platform—providing router and gateway manufacturers with a fully managed solution to improve security for IoT, BYOD, and other devices across the network. Powered by the same zveloAI cloud network that leads the industry in web content categorization and malicious detection engines—the zvelo IoT Security Platform leverages machine learning to perform agentless and hardware agnostic device identification and behavioral anomaly detection.

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