OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection

Summary

<p>OpenAI trained GPT-Red, an internal-only attacker model, using self-play reinforcement learning against a population of defender LLMs. It beat human red-teamers 84% to 13% on a replicated indirect prompt injection arena, found a novel "Fake Chain-of-Thought" attack class, and cut GPT-5.6 Sol's failures 6x on OpenAI's hardest direct injection benchmark. OpenAI concedes it still struggles with multi-turn and image-based attacks.</p> <p>The post <a href="https://www.marktechpost.com/2026/07/16/openai-details-gpt-red-an-internal-automated-red-teaming-model-that-beat-human-red-teamers-84-to-13-on-prompt-injection/">OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>