AI Red Teaming Charter: Workshop for Adversarial Testing
By Learnia Team
AI Red Teaming: Finding Vulnerabilities Before Users Do
This article is written in English. Our training modules are available in multiple languages.
Red teaming is the practice of deliberately trying to make an AI system fail, produce harmful content, or bypass its safety guardrails. It is not about breaking things for fun — it is about finding weaknesses systematically so you can fix them before deployment. Every major AI company has red teams. If you deploy AI without red teaming, you are asking your users to find the vulnerabilities for you.
What is a Red Team Charter?
A red team charter is a formal document that defines:
- →Scope: What system are we testing? What is in-bounds vs out-of-bounds?
- →Objectives: What types of failures are we looking for?
- →Methods: What attack techniques are we authorized to use?
- →Reporting: How do we document and escalate findings?
Attack Categories
Mitigation Strategies
Test Your Understanding
Next Steps
You can now systematically find and fix AI vulnerabilities. In the next module, you will master context engineering — the advanced techniques that push AI performance to its limits.
Continue to Context Engineering: The Four Pillars to learn advanced prompting architecture.
Module 8 — Ethics, Security & Compliance
Navigate AI risks, prompt injection, and responsible usage.
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What will I learn in this AI Safety guide?+
Learn to red-team AI systems professionally. Build a testing charter, design adversarial prompts, and systematically find safety vulnerabilities before malicious users do.