A Practical Guide to AI Red Teaming Tools and Frameworks in 2026

AI red teaming requires distinguishing between governance frameworks and hands-on testing tools, which are often incorrectly treated as interchangeable. MITRE ATLAS and OWASP Top 10 for LLM Applications serve as complementary taxonomies for classifying adversarial techniques, covering threats like prompt injection, jailbreaks, and data leakage. On the tooling side, garak functions as an automated scanner for initial assessments, PyRIT handles stateful multi-turn attack orchestration, and promptfoo integrates security assertions directly into CI pipelines. For traditional classifier models, the Adversarial Robustness Toolbox remains the appropriate choice, implementing evasion and poisoning attacks against major ML frameworks. A critical but often overlooked practice is pinning tool versions and archiving raw scan outputs, since changes in probe sets between releases can otherwise make results across scans incomparable.