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AI Red-Team Training Hub

ART-Hub

A hands-on training platform where students learn how AI systems can be misused, and how to defend them, inside a safe, isolated lab environment.

Design → PilotGeorge Mason UniversityCyber Security Engineering

At a Glance

Project Fact Sheet

Partner university

George Mason University, CYSE 492/493 Senior Advanced Design Project (Cyber Security Engineering), Team 26

Sponsor

Intelligent Futures

Timeline

September 2026 to May 2027 (two semesters)

Status

Design → Pilot: building the first iteration for student user testing

Focus areas

Emerging Technology Readiness · Workforce Upskilling & Career Mobility

Audience

Students, instructors and schools; anyone learning cybersecurity and AI safety

Overview

Turning AI red-teaming into a classroom experience

AI red-teaming means deliberately testing an AI system to find where it can be tricked, misused or made to fail, so those weaknesses can be fixed. ART-Hub turns that professional practice into a classroom experience. Students work through quizzes on key concepts and hands-on labs against a sandboxed AI model, while instructors track progress across their class.

From prototype to platform

Intelligent Futures built the first version of ART-Hub. A five-person senior design team from George Mason University’s Cyber Security Engineering program is now turning it into a secure, cloud-hosted platform that multiple schools can use.

What the Team Is Building

A complete training platform

01

Three learning tracks

Foundations, Attack and Defense, with automatically scored labs and quizzes.

02

Secure AI sandbox

Each lab runs in an isolated environment, so exercises never touch live systems.

03

Role-based accounts

Separate access for learners, instructors and administrators.

04

Instructor dashboards

Class progress, grading and analytics in one place.

05

Certificates

Issued automatically when a learner completes a track.

06

Cloud deployment

Full documentation for administrators and developers.

Timeline & Milestones

Two semesters, one deployable platform

Sept 2026

Proposal presented to sponsor

Nov 2026

First working iteration

Ready for user testing

Dec 2026

Mid-term progress review

Student user testing and feedback

Jan–Mar 2027

Second iteration

Refined labs, expanded tracks, dashboard demos

April 2027

Final presentation

IEEE paper, poster, final presentation and demonstration

May 2027

Platform delivered

ART-Hub deployable platform delivered

Team & Mentors

Guided by faculty and industry experts

GS

GMU Senior Design Team 26

Five Cyber Security Engineering students, George Mason University

MW

Dr. Mingkui Wei

Faculty advisor, George Mason University

GB

Gaspard Baye

Industry subject-matter expert, Valix.ai

TH

Ty Hughes

Industry subject-matter expert, Chaos and Signal

JS

Dr. Janet Shufor Bih

Sponsor, Intelligent Futures

Resources

Learn more about ART-Hub

PDF

Project brief

A one-page summary of ART-Hub: what students learn, what the team is building and the road to launch.

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Emerging Technology Readiness

See how ART-Hub connects to our research on the skills people need to work safely with new technology.

Latest Updates

News from ART-Hub

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Join the Pilot

Want ART-Hub for your school or program? Join the pilot.