AI and Machine Learning in Cybersecurity
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.
Domain Generation Algorithms (DGAs) are a key tool for threat actors. As DGAs become more sophisticated and increasingly difficult to detect, zvelo’s Cybersecurity Team recommends heightened awareness and shares what you need to know.
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
zvelo AI Architect, Daniel DeMillard, attended the NeurIPS 2018 conference in Montreal. In this blog, he shares trends, insights, and predictions for 2019.