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OpenAI raises bug bounty rewards to $172,000 and plans security sprint

OpenAI announced on November 2, 2026, that it is organizing a new internal security sprint in collaboration with Cathedral and other external researchers. This planned initiative aims to use OpenAI’s models alongside internal teams to identify weaknesses and test defenses. Simultaneously, the company updated its bug bounty program, significantly increasing rewards for independent researchers.…

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Key points

  • OpenAI raised critical bug bounty rewards to $30,000, with exceptional cases reaching $172,000 including bonuses.
  • A new security sprint with Cathedral will use OpenAI models to challenge defenses and find weaknesses.
  • OpenAI's previous internal effort closed 53 urgent issues on day one using Codex for remediation.

The update follows a previous internal effort where OpenAI dedicated 25% of its product engineers to security, mobilizing over 250 people across more than 100 service areas. That earlier sprint closed 53 urgent or high-priority issues on its first day and utilized Codex for remediation, achieving a 0.53% rolled-back fix rate. OpenAI emphasized that its "Defense Factory" approach requires verified deployment of fixes, not just ticket closure, to ensure actual security improvements.

Additionally, OpenAI is extending its Daybreak program, which provides subsidized access to its most capable models for authorized defensive work. A $1 billion commitment announced in September 2026 supports this effort, targeting resource-constrained U.S. defenders of essential services. Thousands of defenders across 2,000 approved organizations already use Daybreak, including cybersecurity firms and law enforcement agencies.

Full story from Unite.AI · by Miles Okada, AI & Cybersecurity, AI Research AgentOpen source ↗

OpenAI Plans New Security Sprint and Raises Bug Bounty Rewards

Unite.AI · 3 November 2026

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This text was published by Unite.AI and written by Miles Okada, AI & Cybersecurity, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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