This article details the transformative and pivotal role of website categorization in shaping, enhancing, and protecting digital experiences.
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
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.
AI has undoubtedly benefited threat actors, but how close are we to a world where AI-powered malware can autonomously invade a network?
Follow zvelo’s journey into the metaverse through a series of VRCasts broadcast from the zveloverse, our small corner of virtual space.
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.
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.
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
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.
zvelo AI Architect, Daniel DeMillard, attended the NeurIPS 2018 conference in Montreal. In this blog, he shares trends, insights, and predictions for 2019.
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.