LLM Red Teaming and Automated Adversarial Testing in Production: Comparing Garak, Microsoft PyRIT, Promptfoo Red Team, and HarmBench
Manual penetration testing and bespoke adversarial prompt engineering cannot scale to modern production LLM systems. As language models transition from isolated completion endpoints to stateful autonomous agents with tool-calling capabilities, file system access, and external retrieval pipelines, their attack surface expands combinatorially. Static test suites and manual prompt probing fail to catch subtle multi-turn jailbreaks, prompt injections, and indirect data poisoning vulnerabilities befo



















