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OpenAI's offensive-security model scores 48.5% on ExploitGym and stayed in scope in 99.93% of honeypot runs. Access is gated to vetted Daybreak Red customers, and key questions remain open.

OpenAI released GPT-6 Cyber on Thursday, November 5, 2026. It is a specialized version of GPT-6 Astra built for authorized security testing and exploit development, available through the OpenAI API and Codex - but at first only to select approved customers in Daybreak Red, the offensive-security tier of OpenAI's trusted-access program.
OpenAI classifies the model as Critical in Cybersecurity under its Preparedness Framework, its highest cyber risk tier. Yet the launch pitch leans less on raw power than on behavior: in a honeypot test, GPT-6 Cyber went after off-limits systems in 0.07% of runs without safety instructions and in none with them. OpenAI calls the model "a major advance in security research that pairs stronger capabilities with better model alignment."
Daybreak is OpenAI's trusted-access program for security work. Daybreak Red is the tier for vetted offensive security - "advanced exploit development and authorized testing" - while Daybreak Blue gives verified defenders fewer unnecessary refusals when they validate vulnerabilities and fixes.
The November 5 announcement covered more than one model:
OpenAI named Cisco, Calif and CodeRabbit as early users, applying the model to vulnerability research and code review. No pricing has been disclosed.
"Like GPT-6 Astra, we classify GPT-6 Cyber as Critical in Cybersecurity under our Preparedness Framework," the system card says. Its predecessor, GPT-5.6 Cyber, was rated High. Critical is the top of OpenAI's cyber scale.
The Critical label is OpenAI's own assessment of how much harm a model could enable in cybersecurity. GPT-6 Cyber shares it with GPT-6 Astra. It is the reason the model sits behind identity checks and allowlists instead of a public release.
On ExploitGym, OpenAI's intended-exploit benchmark, GPT-6 Cyber succeeded in 48.5% of tasks (48.45% in the system card). GPT-6 Astra with Daybreak Blue access scored 42.4%, GPT-5.6 Cyber 32.1% and GPT-5.6 with Daybreak Blue 30.3%. GPT-6 Astra with standard safeguards scored 0.0%, because those safeguards stop it from doing the work. Against GPT-5.6 Cyber, that is a relative gain of about 51%.

The rest of the system card shows smaller but consistent gains over GPT-6 Astra:

Irregular, the outside lab OpenAI used for testing, reported mixed results. On CyScenarioBench, GPT-6 Cyber solved all 11 challenges at least once, against 8 of 11 for GPT-6 Astra, with 61% vs 54% average success across attempts. It solved 22 of 22 Atomic challenges. On FrontierCyber, though, it solved 90 of 288 challenges to Astra's 96, and neither model solved any of the 15 hardest challenges or successfully attacked fully hardened targets.

The headline alignment number comes from ExploitGym Honeypot, which checks whether a model attacks services it was told were off limits. OpenAI says the test was informed by the Hugging Face incident, in which OpenAI agents breached the platform while pursuing an assigned task.
OpenAI says alignment training focused on authorized scope, restrictions and accurate reporting, backed at runtime by cyber-specific monitoring, threat checks, credential protections, IP allowlisting, sandboxing and human oversight.
OpenAI declined to describe what happened in the 0.07% of out-of-bounds runs, including whether any amounted to real security incidents. OpenAI's Fouad Matin said reducing evaluation awareness - testing on real codebases and real objectives - is "super top of mind for us."
OpenAI says Mozilla rated 81 previously unknown Firefox vulnerabilities found with the model as high severity, each with reproducible tests, and that another 30 known issues turned out to be more severe than reported. Mozilla has begun landing fixes.
Mozilla's own public record credits fewer so far. Advisory MFSA 2026-118, published October 27, 2026 for Firefox 159, lists 167 CVEs: 108 high, 52 moderate, 7 low and none critical. OpenAI is credited on 41 of them - 34 to "OpenAI Codex Security (kylebot)" and 7 to "Amy Burnett of OpenAI" - and the advisory does not name GPT-6 Cyber. The 81 figure is OpenAI's claim, not Mozilla's published tally.
In a mid-October run, OpenAI says GPT-6 Cyber reproduced 1,724 Linux kernel vulnerabilities and developed working exploits for 948 of them, against 166 for GPT-5.6 Sol in the same harness. OpenAI disclosed 304 critical findings to maintainers along with candidate patches. These are OpenAI's own figures.
The model also found holes closer to home. In OpenAI's internal campaigns, agents chained vulnerabilities to escape microVMs and reach the underlying hosts, which led to patches and tighter network restrictions.
Only approved Daybreak Red users can use GPT-6 Cyber, after identity and eligibility verification. The system card lists the conditions:
What that access unlocks is clear in the system card's completion chart. GPT-6 Cyber completes 100% of general security assistance tasks, 100% of vulnerability patching, 96% of exploit development and 97% of red-teaming tasks. GPT-6 Astra with standard access completes 66.7%, 44.4%, 2.4% and 7.4% of the same tasks.

OpenAI also tightened safeguards on sensitive red-teaming requests. Block rates before and after the update: Standard rose from 70.79% to 89.69%, Daybreak Blue from 13.75% to 67.01%, and Daybreak Red from 0.00% to 61.86%. Daybreak Red for Critical Infrastructure moved only from 0.00% to 0.34%, leaving that group almost unrestricted.

That last point drew the sharpest criticism. Chris Hughes of Noma Security warned that "even a small fraction" of unauthorized actions, at scale, means "actions against systems nobody authorized." He noted that OpenAI's own "Patch the Planet" dashboard shows fewer than 25% of flaws fixed, and he expects better discovery to widen the gap between finding vulnerabilities and fixing them.
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