Isolated team networks
Each cohort and each student gets a private, isolated environment. Fair, secure, contained.
A spin-out from the Portsmouth Artificial Intelligence and Data Science Centre (PAIDS) at the University of Portsmouth. Hands-on, browser-based labs across cybersecurity, AI, drones, Arduino, EEE and programming, mapped to UK QAA outcomes.
A teaching and assessment platform giving university students hands-on experience inside safe, isolated environments, at scale, across disciplines.
Realistic scenarios where learners practise penetration testing, machine-learning experimentation, embedded systems development, drone simulation, circuit design and more, all from a browser. Built on modern containerisation and isolated network design, unignosis spins up a private environment for every student.
No cross-contamination. No local installation. No VMs. Just an institutional URL and a browser tab. Whether the cohort is twenty undergraduates or two thousand, the experience scales, and the IT team's burden does not.
Browser-based access. No installs, no VMs.
Always-on platform availability.
Isolated environments. No cross-contamination.
Genuine tools and scenarios, not toy exercises.
The features that make unignosis production-grade for accredited delivery, not just a demo.
Each cohort and each student gets a private, isolated environment. Fair, secure, contained.
A full Kali workspace in the browser. Every tool, no local installation, no compatibility headaches.
Practise on real-world vulnerable apps: Juice Shop, DVWA, custom institutional challenges.
Real-time competition tracking, lecturer dashboards, cohort-wide progress visualisation.
Capture flags or submit coursework through a single streamlined interface, auto-marked where possible.
Shared workspaces with built-in chat, code sharing and synchronised lab state for group projects.
From institutional onboarding to a student's first running lab, in minutes.
Students join via institutional invite code or SSO and are placed into their course cohort automatically.
One click spins up a browser-based environment, pre-loaded for the discipline: Kali, Jupyter, Arduino IDE, ROS, SPICE.
Students complete challenges, build projects and run experiments, in real, isolated environments.
unignosis was developed at the University of Portsmouth, one of the UK's leading institutions for cybersecurity research and education, built and maintained by the Portsmouth Artificial Intelligence and Data Science Centre (PAIDS), within the School of Computing.
The supervisors, researchers and developers behind unignosis.
Professor at the University of Portsmouth, School of Computing. Research areas: cybersecurity and artificial intelligence.
Lecturer at the University of Portsmouth, School of Computing. Research areas: cybersecurity and artificial intelligence.
Researcher and lead platform developer. Research areas: artificial intelligence and applied learning systems.
Researcher and developer. Research areas: artificial intelligence and penetration testing.
Join unignosis and give your students hands-on labs for any discipline.