Deepfakes: Escalating Threats and Countermeasures
Explore the impact of generative AI on deepfakes, the escalating threats in cybersecurity, and mitigation tactics to combat AI-driven fraud.
Artificial Intelligence is the simulation of human intelligence in machines programmed to think and act like humans. zvelo uses advanced Artificial Intelligence (AI) combined with Machine Learning (ML) to identify malicious websites, phishing URLs, malware distribution infrastructure, and web content categorization.
Explore the impact of generative AI on deepfakes, the escalating threats in cybersecurity, and mitigation tactics to combat AI-driven fraud.
To combat Generative AI phishing attacks, phishing awareness training programs must prioritize technical aspects of detection over grammatical errors.
Explore how AI jailbreaking enables novice and unskilled attackers to launch sophisticated cyber-attacks, reshaping the threat landscape.
From chatbots mimicking humans to voice synthesis and deepfakes that disorient and deceive, learn about AI’s role in Social Engineering.
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 post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.
EU regulatory agencies forge ahead with new proposals to evolve legislative frameworks for governing the online space with a focus on safety.
Follow zvelo’s journey into the metaverse through a series of VRCasts broadcast from the zveloverse, our small corner of virtual space.
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.