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Cybersecurity learning and hands-on demonstrations require complex setups with multiple tools and configurations. Installing these tools on local machines is time-consuming, open to errors, and often limits accessibility. Organizations and learners need a secure, scalable, and accessible way to practice cybersecurity techniques without risking host systems or spending excessive time on setup. Traditional labs also make it hard to replicate real-world scenarios consistently, limiting effective learning.
Rubixe implemented Virtual Labs with Kasm Workspaces to deliver a safe, isolated environment for AI Cybersecurity demonstrations and practice. Our solution ensures learners and professionals can access preconfigured labs without worrying about system security, compatibility, or technical configuration. The approach supports multiple users simultaneously, making it scalable for teams, workshops, and training programs.
Each lab runs in a containerized environment via Kasm Workspaces, accessible through a web browser. Pre-deployed cybersecurity tools allow learners to perform simulations such as penetration testing, malware analysis, and incident response. The platform captures real-world scenarios, provides secure isolation, and enables consistent, hands-on training without local setup or risk to the host system.
Our solution simplifies AI Cybersecurity training, reduces preparation time, and offers a secure, controlled environment for experimentation. Learners and organizations can focus on skill-building and simulations while avoiding infrastructure and security challenges.
