Adversarial probing of LLMs has piled up a sprawling toolkit over the past three years. Attack techniques with names like Tree of Attacks with Pruning, Crescendo, and Skeleton Key sit alongside hundreds of prompt transforms and scoring methods across open-source frameworks including Microsoft’s PyRIT, NVIDIA’s Garak, and Promptfoo. The catalog has grown faster than any operator can fluently navigate it, and that mismatch is changing how AI red teaming gets done. A wave of recent … More →The post AI red teaming agents change how LLMs get tested appeared first on Help Net Security.