zvelo’s Journey into the Metaverse
Follow zvelo’s journey into the metaverse through a series of VRCasts broadcast from the zveloverse, our small corner of virtual space.
zvelo’s 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
Brad Rhodes Joins zvelo Leadership Team
zvelo announced the addition of Brad Rhodes as Head of Cybersecurity to Drive Innovation for Malicious and Phishing Detection Solutions.
DetailsBrian Burch Joins zvelo Leadership Team
zvelo announced the addition of Brian Burch to lead the Artificial Intelligence/Machine Learning team and drive business results.
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Securing 5G Networks and the Future of Safe Web Filtering
In this blog, we explore malicious threats in the 5G era, as well as the significant trends and tech needed to secure next-generation wireless networks.
2019 State of Phishing and What’s Next For Phishing Detection
Ransomware is so 2017. Today, targeted phishing poses the most significant risk. But how did we get here and what’s next for AI-based Phishing Detection.
Applying Machine Learning to Web Content Categorization
One of the key factors for categorizing web content is, of course, understanding the target language of the content. By leveraging language translation, and applying machine learning and other techniques for categorization, we are able to achieve a high level of accuracy and consistency
Phishing Attacks Poised To Be 2019’s Most Significant Cybersecurity Challenge
Earlier this week, Alphabet (Google) launched an interactive phishing quiz website aimed at educating users on the effectiveness of phishing and the specific dangerous elements within an email.
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A Look back at the NeurIPS Conference: AI Advancements, Insights, and Predictions for What’s Next
zvelo AI Architect, Daniel DeMillard, attended the NeurIPS 2018 conference in Montreal. In this blog, he shares trends, insights, and predictions for 2019.
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
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.