
Astra is the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework, with stronger safeguards for release. Since our earlier assessment that Astra might reach a critical level of cybersecurity capability, we have gathered more evidence and run additional evaluations to assess the model’s capabilities. We now believe Astra meets the Critical cybersecurity capability threshold under our Preparedness Framework , meaning that with the right tools and access, it can find previously unknown security flaws and develop ways to exploit them across many well-protected systems without a person guiding each step.
Since our earlier assessment that Astra might reach a critical level of cybersecurity capability, we have gathered more evidence and run additional evaluations to assess the model’s capabilities. We now believe Astra meets the Critical cybersecurity capability threshold under our Preparedness Framework , meaning that with the right tools and access, it can find previously unknown security flaws and develop ways to exploit them across many well-protected systems without a person guiding each step. It is the first model we are designating at this level, and requires stronger safeguards during development and before release.
Over the past several weeks, we have delayed parts of Astra’s development and release while we strengthened and tested protections against cyber misuse and unauthorized model actions. Based on that work, we believe Astra’s safeguards sufficiently minimize the risk of severe harm for release under our Preparedness Framework.
While Astra was not involved in the Hugging Face incident , we have incorporated our learnings (opens in a new window) from that incident into our safety approach. Based on retrospective testing, we believe our production safeguards at the time would have prevented the Hugging Face incident. We have since implemented even stronger safeguards for Astra, including training the model to more reliably refuse harmful cyber requests and respect safety restrictions, additional protections against misuse, and monitoring that can stop potentially unauthorized activity.
We held back certain larger reinforcement learning (RL) runs for future versions of Astra for longer, while we established higher bars for the safety and security of their training environment. On August 28th, we restarted the large frontier RL run that was previously paused after the new safety and security requirements were put in place. We are continuing to temporarily hold back some smaller experimental training runs.
Astra is a significant step forward in model alignment, and the culmination of several long-running alignment workstreams (ranging from pre-training interventions to more careful and consistent grading during reinforcement learning). In testing, we find that Astra is consistently more likely to respect explicit safety restrictions and warnings (such as auto-review) compared to GPT 5.6 Sol.
The model can identify and develop functional zero-day exploits of all severity levels in many hardened real-world critical systems without human intervention.
The model taking unauthorized, misaligned actions. Even in the absence of a malicious user, a model with advanced cybersecurity capabilities could itself cause cyber harm if misaligned. In addition to having a very high standard for alignment for models with these capabilities, our safeguards must be able to rapidly detect and contain misaligned actions that could cause significant real-world harm as a second layer of defense.
Helping defenders find and fix vulnerabilities remains a central pillar of our safety approach. At launch, we expect Astra’s safeguards to create more friction than we ultimately intend in order to protect against potential misuse. Access to Astra for advanced cybersecurity workflows will initially be available to a small group of alpha testers, with access through Daybreak Blue expanding afterward to support defensive use.
We plan to make Astra available soon, but access to its most advanced cybersecurity capabilities will be more limited. Advanced cybersecurity work will initially be available to a group of testers, with access through Daybreak Blue following to expand defensive use.
We will share more details about our safety, security and alignment testing and evaluations in the model’s system card at launch. Ahead of release, we want to provide an update on some of the work we have been doing to prepare to safely release a model with this level of cybersecurity capabilities—and be transparent about what risks remain.
Under our Preparedness Framework , a model meets the Critical threshold if either of the following conditions is met:
Astra is the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework, with stronger safeguards for release Reported by OpenAI on September 1, 2026.