GPT-Red: an LLM super-hacker OpenAI built to make its models safer
OpenAI has created GPT-Red, a large‑language‑model designed to act as an automated red‑team hacker for testing the safety of its AI systems. The model was used in a self‑play training loop to discover and mitigate prompt‑injection attacks, including a novel “fake chain of thought” technique, before the release of GPT‑5.6. Researchers and external analysts view the approach as a promising way to future‑proof AI safety against evolving threats.
- ▪GPT‑Red was built to automate red‑team testing by attacking other LLMs while they defend themselves.
- ▪The self‑play dojo simulated real‑world scenarios such as web browsing, email handling, and code editing.
- ▪GPT‑Red identified a new prompt‑injection method called a fake chain of thought, which can mislead a model into acting on false information.
- ▪OpenAI claims that training GPT‑5.6 against GPT‑Red made the new model its most robust release to date.
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Artificial intelligenceMeet GPT-Red: an LLM super-hacker OpenAI built to make its models saferExclusive: The firm says it wants to future-proof its safety procedures and stay ahead of human attackers. By Will Douglas Heavenarchive pageJuly 15, 2026Stephanie Arnett/MIT Technology Review | Adobe StockEXECUTIVE SUMMARY OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models boost their defenses against cyberattacks. Last week the company released the latest version of its flagship LLM, GPT-5.6. OpenAI says that training it against GPT-Red made the model its most robust release yet.
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