Isolated team networks
Each cohort and each student gets a private, isolated environment — fair, secure, contained.
unignosis is an academic lab platform spun out of the Portsmouth Artificial Intelligence and Data Science Centre (PAIDS) at the University of Portsmouth. We give universities hands-on, browser-based labs in cybersecurity, AI, drones, Arduino, electrical engineering, programming and more — in one place, mapped to UK QAA outcomes.
unignosis is a cutting-edge teaching and assessment platform designed to give university students hands-on experience inside safe, isolated environments — at scale, across disciplines. It offers 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 inside 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, run experiments — in a real, isolated environment.
Submit work for points or grades, climb the live scoreboard, sharpen real-world skills under real assessment.
Built on cutting-edge research in security and AI.
Designed for accredited HE delivery from day one.
Aligned with real-world tools and practices.
Located in Portsmouth, United Kingdom.
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.