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Introducing the OpenAI Safety Bug Bounty program
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Introducing the OpenAI Safety Bug Bounty program

#OpenAI #bug bounty #AI safety #vulnerability reporting #security #researchers #rewards

📌 Key Takeaways

  • OpenAI launches a bug bounty program to enhance AI safety and security.
  • The program invites external researchers to report vulnerabilities in OpenAI systems.
  • It aims to proactively identify and address potential security risks.
  • Rewards are offered based on the severity of reported issues.

📖 Full Retelling

OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.

🏷️ Themes

AI Safety, Cybersecurity

📚 Related People & Topics

OpenAI

OpenAI

Artificial intelligence research organization

# OpenAI **OpenAI** is an American artificial intelligence (AI) research organization headquartered in San Francisco, California. The organization operates under a unique hybrid structure, comprising the non-profit **OpenAI, Inc.** and its controlled for-profit subsidiary, **OpenAI Global, LLC** (a...

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AI safety

Artificial intelligence field of study

AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses AI alignment (which aims to ensure AI systems behave as intended), monitoring AI systems for risks, and enhancing their rob...

View Profile → Wikipedia ↗

Entity Intersection Graph

Connections for OpenAI:

🌐 ChatGPT 9 shared
🌐 Artificial intelligence 5 shared
🌐 AI safety 5 shared
🌐 Regulation of artificial intelligence 4 shared
🌐 OpenClaw 4 shared
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Mentioned Entities

OpenAI

OpenAI

Artificial intelligence research organization

AI safety

Artificial intelligence field of study

Deep Analysis

Why It Matters

This news matters because it represents a proactive approach to AI safety by leveraging community expertise to identify vulnerabilities before they can be exploited. It affects AI developers, security researchers, end-users of OpenAI products, and potentially anyone interacting with AI systems, as improved security reduces risks of misuse, data breaches, or harmful outputs. The program incentivizes ethical hacking to strengthen AI systems against malicious actors, which is crucial as AI becomes more integrated into critical infrastructure and daily life.

Context & Background

  • Bug bounty programs are common in tech (e.g., Google, Microsoft) to crowdsource security testing, but AI-specific programs are newer due to unique risks like prompt injection or biased outputs.
  • OpenAI has faced scrutiny over AI safety, including concerns about misinformation, privacy, and alignment, leading to initiatives like red-teaming and external audits.
  • The AI industry is under regulatory pressure (e.g., EU AI Act) to ensure safety, making such programs a step toward compliance and public trust.

What Happens Next

Security researchers will likely submit vulnerabilities, with OpenAI reviewing and patching them, potentially leading to public disclosures of fixes. The program may expand to include more AI models or higher rewards, and other AI companies could launch similar initiatives. Regulatory bodies might reference such programs as best practices for AI safety.

Frequently Asked Questions

What types of bugs is OpenAI looking for?

OpenAI seeks vulnerabilities in its AI systems, such as data leaks, prompt injection attacks, or issues that could lead to harmful outputs. The focus is on security flaws, not general feedback on AI behavior or content.

Who can participate in the bug bounty program?

Ethical hackers, security researchers, and the general public can participate, with rewards based on bug severity. Participants must follow responsible disclosure guidelines to avoid legal issues.

How does this program differ from traditional bug bounties?

It targets AI-specific risks like model manipulation or unintended outputs, beyond typical software bugs. Rewards may reflect the novel challenges of securing generative AI systems.

What are the potential risks of such a program?

Risks include public exposure of vulnerabilities before patching or malicious actors exploiting the program. However, structured processes aim to mitigate this through controlled disclosure and rapid response.

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Original Source
March 25, 2026 Safety Security Introducing the OpenAI Safety Bug Bounty program Testing for safety and abuse issues across OpenAI Share Today, OpenAI is launching a public Safety Bug Bounty ⁠ (opens in a new window) program focused on identifying AI abuse and safety risks across our products. As AI technology rapidly evolves, so do the potential ways it can be misused. Our goal is to ensure our systems remain safe and secure against misuse or abuse that could lead to tangible harm. This new program will complement OpenAI’s Security Bug Bounty ⁠ (opens in a new window) by accepting issues that pose meaningful abuse and safety risks, even if they don’t meet the criteria for a security vulnerability. Through this program, we look forward to continuing to partner with safety and security researchers to help us identify and address issues that fall outside conventional security vulnerabilities but still pose real risks. Submissions will be triaged by OpenAI’s Safety and Security Bug Bounty teams, and may be rerouted between the two programs depending on scope and ownership. Program overview The new Safety Bug Bounty ⁠ (opens in a new window) program focuses on AI-specific safety scenarios listed below: Agentic Risks including MCP Third party prompt injection and data exfiltration: when attacker text is able to reliably hijack a victim’s agent (including Browser, ChatGPT Agent, and similar agentic products) to trick it into performing a harmful action or leaking the user’s sensitive information. The behavior must be reproducible at least 50% of the time. An agentic OpenAI product performs a disallowed action on OpenAI’s website at scale. An agentic OpenAI product performs some potentially harmful action not listed above. Valid reports here must indicate plausible and material harm. Any testing for MCP risk must comply with the terms of service of any third parties. OpenAI Proprietary Information Model generations that return proprietary information related to reasoning. V...
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