Back to Table
ReRed-team3
Red-team
Finding vulnerabilities before attackers do
validationRow 3: Deploymentadvanced4 hoursRequires: Lg, Gr
Overview
Red-teaming involves systematically testing AI systems for vulnerabilities, biases, and failure modes.
What is it?
Adversarial testing of AI systems to find weaknesses and failure modes.
Why it matters
AI systems have unexpected vulnerabilities. Red-teaming finds jailbreaks, biases, and edge cases before they cause real harm.
How it works
Security researchers try to make the AI misbehave: jailbreak prompts, adversarial inputs, edge cases. Findings are used to improve guardrails.
Real-World Examples
Jailbreak Testing
Finding prompts that bypass safety
Bias Auditing
Testing for discriminatory outputs
Adversarial Inputs
Crafted inputs that cause failures
Tools & Libraries
Garaklibrary
LLM vulnerability scanner
Microsoft Counterfitlibrary
AI security testing
TextAttacklibrary
NLP adversarial attacks