AI Red Teaming Pro

Expert-level adversarial testing of Large Language Models (LLMs) and AI pipelines. Focuses on identifying and mitigating risks before deployment.

Boundary

ai-red-teaming-pro covers adversarial attacks (Prompt Injection, Jailbreaking, Data Poisoning, Model Extraction) and defensive techniques (Input Sanitization, Output Filtering, PII Redaction). It does NOT cover traditional network security unless directly related to the AI system.

When to use

• Auditing an LLM-based application for security vulnerabilities.
• Designing defenses against prompt injection attacks.
• Performing robustness testing on a machine learning model.
• Setting up automated safety evaluation gates.

Workflow