While red teaming is standard practice, using humans and AI to test the security of new models is novel. Enterprises should still ensure the model they use aligns with their business and security workflows.
July 16, 2026
OpenAI on Wednesday launched GPT-Red, an automated red teaming model. The startup's latest release reflects how AI models are becoming important tools that need to be safeguarded to prevent them from falling into the wrong hands and to keep enterprise data and workflows protected.
GPT-Red is the culmination of OpenAI’s efforts to test the safety of its recent models, such as GPT-5.6 Sol, according to the company. The model is used internally to try to hijack or jailbreak OpenAI models; it specializes in prompt injection, a method in which a hacker manipulates an AI model or agent by inputting malicious instructions into a prompt. OpenAI said it used the attacks that GPT-Red generated to train its production models and evaluate them against AI software in production.
GPT-Red is a response to the recent fear about models such as Anthropic’s Claude Fable and Mythos being so powerful they could possibly expose vulnerabilities or make it easier to hack into systems. The concern is so great, the Trump Administration introduced a voluntary quarantine policy to allow the federal government time to evaluate models before they’re released to the public.
