Estimated Reading Time: 7 minutes 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.
Estimated Reading Time: 5 minutes 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.
Estimated Reading Time: 7 minutes 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
Estimated Reading Time: 4 minutes 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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Estimated Reading Time: 13 minutes zvelo AI Architect, Daniel DeMillard, attended the NeurIPS 2018 conference in Montreal. In this blog, he shares trends, insights, and predictions for 2019.
Estimated Reading Time: 9 minutes 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.
Estimated Reading Time: 3 minutes 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.
Estimated Reading Time: < 1 minute 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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Estimated Reading Time: 3 minutes Network security company zvelo Monday unveiled an IoT security offering that uses artificial intelligence to automate the way enterprises discover and profile IoT devices on the network – and detect ones that are compromised.
Estimated Reading Time: 2 minutes We’re pleased to announce this week that zvelo has signed a multi-million dollar, multi-year AI as a Service contract. The AIaaS platform will implement custom AI solutions that utilize and leverage zveloDP’s extensive datasets, as well as zvelo’s Datafication services, to generate new and innovative services and datasets which complement those already offered by zvelo.