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GenAI Red Teaming Guide

Summary

OWASP`s GenAI Red Teaming Guide is a practical playbook for evaluating AI/LLM systems across model, implementation, system, and runtime/agentic layers to surface security risks. It targets cybersecurity teams, AI/ML engineers, and red teamers, combining AI-specific threat modeling, scenario-based testing, and continuous monitoring to make testing repeatable and actionable.

Key Takeaways

  • Frames GenAI red teaming as a structured approach combining traditional adversarial testing with AI-specific methods, e.g. prompt injection, data leakage
  • 4 part evaluation blueprint - model evaluation, implementation testing, system evaluation, and runtime or human-agentic analysis
  • Highlights key risk categories including security and robustness
  • Expands the definition of adversary to include the model itself and its outputs
  • Stresses scenario-based testing, multifaceted input coverage, and automated output analysis
  • Continuous monitoring and observability to detect model drift, response degradation, and injection attempts in production environments
  • Emphasizes governance and reporting with integration into enterprise risk frameworks like NIST AI RMF
  • Provides appendices with metrics, tools, and datasets to support repeatable testing and automation

Additional Sources

Tags

red-teaming, threat-modelling, adversarial-ml, evaluation, governance, monitoring

License

CC-BY-SA-4.0