OpenAI uses internal LLM to test model security
Originally published Jul 15, 2026
By Will Douglas Heaven · MIT Technology Review
AI-generated summary based on MIT Technology Review · Aggregated by OffScreenSpace · Human-reviewed and approved on Jul 15, 2026
Key points
- OpenAI created GPT-Red as an internal adversarial testing model.
- GPT-Red generates simulated cyberattack scenarios for other LLMs.
- The tool was used during training of the new GPT‑5.6 release.
- OpenAI says GPT‑5.6 is its most robust model to date.
OpenAI has developed an internal large‑language model, dubbed GPT-Red, that acts as a simulated attacker to probe vulnerabilities in its other systems. The tool is employed during training of the newly released GPT‑5.6, with OpenAI claiming it helps make the latest model more resistant to cyber threats.
According to the company, exposing GPT‑5.6 to adversarial prompts generated by GPT‑Red improves its defensive capabilities and overall robustness before public deployment. The approach reflects a broader trend of AI developers building dedicated safety mechanisms to mitigate misuse of powerful language models.
Read the original story: MIT Technology Review — by Will Douglas Heaven