This blog explores the realm of dark Large Language Models (LLMs) and their role in revolutionizing cyberattacks.
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
Explore how AI jailbreaking enables novice and unskilled attackers to launch sophisticated cyber-attacks, reshaping the threat landscape.
AI-fueled social engineering tactics are a potent initial infection vector for ransomware as well as a myriad of other cyber threats.
AI isn’t a magic fix for alert fatigue. See what it really takes to slash false positives and solve the complexities of alert management.
This article details the transformative and pivotal role of website categorization in shaping, enhancing, and protecting digital experiences.
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.