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OpenAI7 min read

OpenAI GPT-5.5 Bio Bug Bounty: Crowdsourcing the Fortress of Biosecurity

By AI Guide News·Thursday, April 23, 2026
OpenAI GPT-5.5 Bio Bug Bounty: Crowdsourcing the Fortress of Biosecurity

OpenAI announces a specialized Bio Bug Bounty for GPT-5.5, offering up to $25,000 for researchers who can identify 'universal jailbreaks' in biological safety safeguards, marking a critical milestone in frontier AI security.

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The Challenge: Defining the Universal Jailbreak

In a strategic effort to harden its most advanced systems, OpenAI has introduced the GPT-5.5 Bio Bug Bounty. Unlike traditional cybersecurity bounties that target server vulnerabilities, this program focuses on a single, high-stakes objective: identifying a "universal jailbreak." This is defined as a specific prompt that can consistently bypass GPT-5.5's biological safety guardrails across a set of five critical challenges without triggering moderation.

  • Model in Scope: Specifically GPT-5.5 running on the Codex Desktop platform.
  • The $25,000 Milestone: The top reward is reserved for the first successful demonstration of a repeatable bypass across all challenge questions.
  • Vetted Access: Participation is restricted to experienced researchers in AI red-teaming, biosecurity, and security auditing.

The Shift Toward Proactive Defense

This initiative represents a significant evolution in how frontier AI labs manage existential risks. By incentivizing the global research community to proactively probe for weaknesses in highly specialized domains like biology, OpenAI is moving away from generic safety filters toward deep, domain-specific resilience. This 'defense-as-offense' strategy ensures that biological knowledge remains accessible for legitimate science while being structurally blocked from misuse. By crowdsourcing these vulnerabilities, OpenAI creates a dynamic feedback loop that internal red teams alone cannot replicate, effectively setting a new global benchmark for responsible AI deployment.

Source: OpenAI GPT-5.5 Bio Bug Bounty

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