QbitDojo Standards
This page outlines how we deliver ethical AI security training, protect learner data, and align with recognized security frameworks.
QbitDojo exists to advance ethical AI security education through practical, controlled learning. We teach defensive and offensive concepts so learners can identify, mitigate, and responsibly report vulnerabilities in modern AI systems.
All labs are intentionally built, sandboxed environments designed for training. Learners are authorized to test only QbitDojo lab targets. We do not permit or encourage testing against real-world systems, production infrastructure, or third-party assets.
We collect limited account and platform data, including your email and learning progress, to operate the platform and personalize training. This data is encrypted at rest and protected with access controls. We do not sell user data.
If you discover a security issue in QbitDojo, report it privately so we can investigate and remediate quickly. Contact: contact@qbitdojo.com.
QbitDojo was founded by a cybersecurity engineer with banking sector experience from the Swiss Banks. We are based in Lausanne and focused on practical, high-integrity security education.
Our content and security posture are aligned with recognized guidance, including the OWASP LLM Top 10 and the MITRE ATLAS framework, to keep training relevant to current AI threat models.