Category:
Category:
Red-Teaming
Category:
Evaluation & Safety
Definition
Stress-testing AI systems by simulating adversarial or harmful user inputs.
Explanation
Red-teaming evaluates how AI models and agents behave under adversarial, harmful, manipulative, or malicious prompts. It tests vulnerabilities such as jailbreaks, unsafe tool calls, harmful outputs, data leakage, and compliance violations. Red-teaming is essential for enterprise AI governance, allowing teams to identify risks before deployment.
Technical Architecture
Adversarial Prompt → Attack Harness → Model/Agent → Safety Evaluation → Risk Report
Core Component
Jailbreak tests, prompt attacks, policy violation checks, tool misuse attempts, adversarial datasets
Use Cases
Governance audits, compliance validation, vendor risk assessment, safety certification
Pitfalls
Incomplete coverage, adversarial oversights, false sense of safety
LLM Keywords
AI Red Teaming, Adversarial Testing, Jailbreak Testing
Related Concepts
Related Frameworks
• Guardrails
• Safety Classifiers
• Policy Enforcement
• Red-Team Attack Framework