OpenAI is expanding its defensive perimeter by introducing a dedicated Safety Bug Bounty program, a move designed to catch risks that traditional security audits might miss. While their existing security program handles technical vulnerabilities like code exploits, this new initiative specifically targets "AI-native" threats. These include scenarios where an AI agent—an autonomous system capable of taking actions on a user's behalf—might be hijacked by third-party text to leak sensitive data or perform unauthorized tasks.

The program places a significant emphasis on "agentic risks," acknowledging that as models become more capable of navigating the web and interacting with other tools, the attack surface for social engineering and prompt injection grows. Beyond agentic behavior, OpenAI is incentivizing researchers to find leaks in proprietary information, particularly data related to the model's internal reasoning processes. This suggests that protecting the "thought patterns" of future models is becoming as critical as protecting the model weights themselves.

Interestingly, the program explicitly excludes "jailbreaks"—attempts to make the AI say something offensive or bypass content filters—which OpenAI continues to handle through private red-teaming efforts. By carving out a space specifically for safety researchers, the company aims to build a more robust defense against automated exploitation and high-stakes data breaches that could occur as AI agents become integrated into daily productivity workflows.

OpenAI is expanding its defensive perimeter by introducing a dedicated Safety Bug Bounty program, a move designed to catch risks that traditional security audits might miss. While their existing security program handles technical vulnerabilities like code exploits, this new initiative specifically targets "AI-native" threats. These include scenarios where an AI agent—an autonomous system capable of taking actions on a user's behalf—might be hijacked by third-party text to leak sensitive data or perform unauthorized tasks.

The program places a significant emphasis on "agentic risks," acknowledging that as models become more capable of navigating the web and interacting with other tools, the attack surface for social engineering and prompt injection grows. Beyond agentic behavior, OpenAI is incentivizing researchers to find leaks in proprietary information, particularly data related to the model's internal reasoning processes. This suggests that protecting the "thought patterns" of future models is becoming as critical as protecting the model weights themselves.

Interestingly, the program explicitly excludes "jailbreaks"—attempts to make the AI say something offensive or bypass content filters—which OpenAI continues to handle through private red-teaming efforts. By carving out a space specifically for safety researchers, the company aims to build a more robust defense against automated exploitation and high-stakes data breaches that could occur as AI agents become integrated into daily productivity workflows.