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OpenAI Says New ‘Astra’ AI Can Build Attacks Without Human Help

OpenAI says its upcoming Astra model can identify previously unknown software vulnerabilities and turn them into working cyberattacks without human guidance at each step—a capability...

OpenAI says its upcoming Astra model can identify previously unknown software vulnerabilities and turn them into working cyberattacks without human guidance at each step—a capability that until recently was largely limited to expert hacking teams.

OpenAI classifies Astra as having “Critical” cyber capabilities

In a Tuesday post, OpenAI said Astra is the first model it has classified as having “Critical” cyber capabilities under its Preparedness Framework.

To meet that threshold, a model must be able to discover previously unknown software flaws, known as zero-days, and develop working exploits across hardened real-world systems without human intervention. It may also qualify by devising and executing an attack from little more than a high-level objective.

During testing, Astra achieved a 100% score on a benchmark measuring the development of exploits for known vulnerabilities. In a separate internal test, it found two previously unknown flaws while building an exploit chain.

OpenAI also tested whether models would “cheat” on extremely difficult or impossible hacking tasks by taking prohibited shortcuts. GPT-5.6 Sol was more likely to do so, while Astra did not and still legitimately solved some of the tasks.

Astra also escaped a hardened browser sandbox and executed commands on the host computer, OpenAI said. In a separate test, it identified and combined multiple operating-system flaws to gain root access.

OpenAI has since delayed parts of Astra’s development while adding safeguards. The company plans to initially limit the model’s most advanced cybersecurity capabilities to selected testers.

Evan Mercer

Penulis

Evan Mercer covers coins, digital assets and the market stories shaping everyday conversations about money. His work focuses on accessible explanations, useful context and the signals behind sudden moves.