AI red teaming agents change how LLMs get tested

This article examines the rise of agent-orchestrated AI red teaming—autonomous agents that select, transform, execute, and score hundreds of adversarial attacks against LLMs—highlighting a case study on Llama Scout, throughput and success-rate findings, limitations around model alignment and disclosure, and the operational implications for defenders and attackers as continuous, high-volume assessment becomes practical.