OpenAI has raised the reward for discovering "universal jailbreaks" in its AI models to $50,000, more than doubling the previous bounty and signaling that the company views certain classes of safety bypasses as serious enough to warrant a premium payout.
The updated Bio Bug Bounty program, announced by OpenAI on July 9, 2026, asks security researchers to find prompts that can universally break through the model's safety guardrails — bypasses that work across multiple conversations and contexts rather than isolated edge cases. The program specifically targets jailbreaks related to biological threats, where an AI model could be coerced into providing actionable guidance on creating dangerous pathogens or weapons.
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Why $50,000?
The increased bounty reflects growing concern about the gap between what frontier AI models are told not to do and what determined users can actually extract from them. A universal jailbreak is particularly dangerous because, unlike a one-off prompt-injection trick, it represents a systematic weakness that can be replicated and shared.
TechRepublic reported on July 10 that the reward increase comes amid heightened scrutiny of OpenAI's most powerful models. The Trump administration previously asked OpenAI to limit the release of its newest cyber-capable model to a hand-picked group of vetted users, according to National Technology News, reflecting government concern about the offensive potential of frontier AI systems.
UK Agency Finds AI Cyber Capabilities Accelerating
The bounty announcement coincides with a stark warning from the UK's AI Security Institute (AISI), which has been independently evaluating the cyber capabilities of frontier models since 2024.
In an April 2026 evaluation of OpenAI's GPT-5.5, the AISI found that the model achieved a 71.4% pass rate on Expert-level cybersecurity tasks — the highest of any model tested, surpassing Anthropic's Claude Mythos Preview at 68.6%, GPT-5.4 at 52.4%, and Opus 4.7 at 48.6%.
One benchmark was particularly striking. AISI designed a custom virtual-machine reverse-engineering challenge — a multi-step task requiring an attacker to build a custom instruction decoder, reverse-engineer an authenticator, and recover a valid password. Crystal Peak Security's expert human playtester solved the challenge in roughly 12 hours using professional tools. GPT-5.5 solved it in 10 minutes and 22 seconds at a cost of $1.73 in API usage, with no human assistance.
Doubling Every Few Months
In a separate analysis published in May 2026, the AISI found that the length of cyber tasks frontier AI models can autonomously complete has been doubling every 4.7 months since late 2024 — an acceleration from its November 2025 estimate of 8 months.
"The current rate of change indicates a growing potential for AI cyber capabilities to translate into tangible risks — risks UK organisations will need to navigate in the coming months," the AISI wrote.
Claude Mythos Preview and GPT-5.5 both substantially exceeded the previous doubling trend, raising the question of whether the pace is getting even faster.
Universal Jailbreaks: The Highest Stakes
The distinction between a narrow jailbreak and a universal one is critical. A narrow jailbreak might trick a model into producing a single disallowed response under specific conditions. A universal jailbreak, by contrast, represents a fundamental crack in the model's safety architecture — a method that reliably circumvents guardrails across a wide range of inputs.
OpenAI's decision to offer $50,000 for such discoveries suggests the company believes universal jailbreaks are both rare enough to justify a large bounty and dangerous enough to warrant the investment. If a universal jailbreak for biothreat-related queries were discovered by a malicious actor before being patched, the consequences could be severe.
The program also serves a transparency function. By inviting external researchers to probe its models, OpenAI can identify and fix vulnerabilities before they are exploited in the wild — provided the bounty is large enough to attract the caliber of talent needed.
A Race Between Offense and Defense
The parallel developments — OpenAI's bounty increase and the AISI's capability assessments — illustrate the central tension in AI safety today. Models are getting dramatically more capable at cyber tasks, with the time horizon of tasks they can complete doubling every few months. At the same time, companies are racing to patch the vulnerabilities that make their models dangerous.
Whether bounties and red-teaming can keep pace with the accelerating capability curve remains an open question. But the $50,000 figure sends a clear signal: OpenAI believes the threat is serious enough to pay top dollar to anyone who can prove the cracks exist.
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