GPT-5.5 Bio Bug Bounty

Failure to identify these vulnerabilities exposes the public to the risk of AI-assisted generation of hazardous biological materials. Proactive red-teaming allows developers to patch critical safety gaps before these capabilities reach the general population. While this program strengthens defense, it remains limited by the reliance on human testers who may not discover every potential adversarial configuration. Effective execution here ensures that advanced models can assist in life-saving research without enabling dual-use harm.

The program shifts from internal safety protocols to an external, incentivized adversarial testing model for GPT-5.5. Participants must achieve a clean-chat jailbreak across five specific safety benchmarks to qualify for the bounty. This process moves beyond static moderation filters by requiring a single universal prompt to circumvent the entire safety stack. A key limitation persists in the NDA-covered nature of the findings, which prevents public disclosure of the specific exploit methods discovered.

This week

• Review internal red-teaming capabilities against the five-question bio safety benchmark.
• Identify qualified security personnel within the organization to apply for the bounty program.

This quarter

• Formalize a submission process for researchers to report potential model vulnerabilities.
• Allocate budget for participation in external AI safety bounty programs to stay ahead of emerging threats.

This year

• Integrate findings from the Bio Bug Bounty into the organization's broader safety governance framework.
• Audit internal security protocols to ensure alignment with the latest frontier model safety standards.