ai-red-teamer

What problem does it solve?

Adversarial testing for AI systems to reveal safety gaps, robustness issues, and alignment failures before they hit production.

Core Features & Use Cases

• Sub-Agents — AIRedTeamer organizes testing into specialized roles: PromptAttacker, SafetyEvaluator, RobustnessProber, GuardrailAuditor, and ReportWriter.
• Attack Taxonomy — Comprehensive categories (Direct/Indirect prompt injection, training data exposure, denial-of-service, etc.) to structure red-team assessments.
• Red-Team Workflow — Four phases (Baseline, Boundary Testing, Adversarial, Policy Stress) with reproducible steps and severity scoring.
• Use case: Validate prompts in high-stakes domains (finance, healthcare) to ensure guardrails hold under adversarial inputs.

Quick Start

Run AIRedTeamer to systematically test prompts and document safety failures.