A secure training environment where students and partners simulate AI and cybersecurity failures using synthetic data—learning accountability, response, and mitigation without real-world risk.
Educational institutions and organizations face a critical gap: students learn AI and cybersecurity in theory, but never experience how systems actually fail in practice.
Real-world experimentation is too risky. Production systems, real data, and live environments can't be used for training without ethical and legal consequences. As a result:
The result? Graduates who can build systems but can't diagnose, respond to, or mitigate failures responsibly.
FAILSAFE is a secure "safe-failure" sandbox where students, instructors, and industry partners simulate controlled AI and cybersecurity failures in isolated environments.
Using synthetic and anonymized data, learners experience realistic failure scenarios—detecting issues, assessing impact, and designing mitigations—all with full logging, role-based access, and instant environment resets.
Students practice diagnosing real-world failures without consequences. Every mistake is a learning opportunity, not a liability.
Synthetic data, isolated environments, and automated resets ensure no real systems or data are at risk. Fully compliant with privacy and ethics standards.
Teams work as Builders (Developers/Data Scientists), Breakers (Cybersecurity), and Observers (Business/Ethics)—mirroring real-world collaboration.
Choose from pre-designed failure scenarios—AI bias, data breaches, insecure APIs, governance gaps—each mapped to real-world use cases.
Work as a Builder, Breaker, or Observer. Each role has specific responsibilities: diagnose issues, exploit vulnerabilities, or assess ethical impact.
Access the isolated simulation environment with synthetic data. Use logs, metrics, and tools to identify failures, test fixes, and document findings.
Submit structured reflection reports detailing your analysis, mitigations, and lessons learned. Reset the environment instantly for the next team.
Cross-disciplinary teams mirror real-world collaboration
Developer / Data Scientist
Diagnose AI model performance issues, data quality problems, and system misconfigurations. Propose technical fixes and monitoring improvements.
Cybersecurity / Ethical Hacker
Identify vulnerabilities, insecure APIs, access control flaws, and misconfigurations. Test system resilience and recommend security improvements.
Business / Ethics / Compliance
Assess ethical, legal, and business impact of failures. Evaluate governance gaps, stakeholder harm, and reputational risk. Recommend policy improvements.
Build portfolio-ready artifacts demonstrating failure analysis, incident response, and ethical decision-making under realistic constraints.
Access pre-built scenarios with learning objectives, rubrics, and analytics. Teach accountability and real-world problem-solving safely.
Prototype AI/cyber integrations in isolated environments without risking production systems or real data. Test failure scenarios before deployment.
Synthetic data, automated resets, audit logs, and ethical boundaries built in. Fully compliant with privacy standards and institutional policies.
FAILSAFE is designed with trust and responsibility at its core. Every simulation operates within strict ethical and technical guardrails:
Learning to fail responsibly means understanding the consequences—without causing real harm.
The demand for AI governance, cybersecurity resilience, and ethical accountability has never been higher.
Manitoba's innovation ecosystem is growing rapidly, with organizations seeking job-ready talent who can navigate complex, real-world failures. Meanwhile, educational institutions need safe, structured ways to teach these critical skills.
FAILSAFE bridges the gap—providing hands-on, consequence-free learning that prepares students for the challenges they'll face on day one.
We're launching an 8-week pilot program with RRC Polytech in Spring 2026.
Students, instructors, and industry partners will test FAILSAFE missions, provide feedback, and help shape the platform's future.
Interested in participating or partnering? Let's talk.