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OpenAI Launches New Security Sprint to Hunt Vulnerabilities

Original title: OpenAI Launches New Security Sprint to Hunt Vulnerabilities and Strengthen Defenses

Cyber Security Newsby Guru Baran ()2 min read1
Part of a story covered by 2 sourcesOpenAI Security Sprint with Cathedral Systems ResearchersMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The sprint pairs OpenAI models with Cathedral Systems researchers to continuously test and strengthen defenses while raising critical bug bounty rewards.

OpenAI announced an internal security sprint bringing outside researchers together with its teams to discover vulnerabilities, test fixes, and improve continuous defense of its platforms. The effort includes a partnership with Cathedral Systems and increased bug bounty rewards up to $30,000 for critical flaws in core products like ChatGPT, Codex, and the API Platform. This builds on prior AI-assisted security work where engineers used tools to investigate and patch issues.

Unconfirmed: The announcement provides no start date, target list, or early findings from the sprint.

Key facts
  • Increased bug bounties up to $30,000 for critical vulnerabilities
  • Collaboration with Cathedral Systems for fresh testing approaches
  • Ongoing defense improvements beyond one-time assessments
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

2 min read at cybersecuritynews.com

OpenAI is preparing a new internal security sprint that will bring outside researchers together with its own teams to find vulnerabilities, test fixes, and strengthen its platforms using AI. Announced on November 2, the effort includes a partnership with Cathedral Systems and higher bug bounty rewards to encourage independent researchers to report serious security flaws. […]

Cyber Security News

By Guru Baran · cybersecuritynews.com

Read the full article at Cyber Security News

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.