Malicious AI: The Rise of Dark LLMs
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
How AI Jailbreaks Pave the Way for Unskilled Attackers
Explore how AI jailbreaking enables novice and unskilled attackers to launch sophisticated cyber-attacks, reshaping the threat landscape.
Social Engineering Tactics in Ransomware Distribution
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 Wand: The Real Solution to Alert Fatigue
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.
Harnessing the Power of Website Categorization
This article details the transformative and pivotal role of website categorization in shaping, enhancing, and protecting digital experiences.
AI and Machine Learning in Cybersecurity
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.
AI-Powered Malware Holds Potential For Extreme Consequences
AI has undoubtedly benefited threat actors, but how close are we to a world where AI-powered malware can autonomously invade a network?
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.
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.