Safety and security for code executing agents - Fouad Matin, OpenAI

Introduction to Code Executing Agents 00:01

• Fouad Matin introduces his background in security and current work on agent robustness at OpenAI.
• He discusses the development of Codeex and Codeex CLI, an open-source library for running code execution agents.

Advancements in Code Execution Models 01:18

• Research labs are enhancing coding agents for better usability and deployability.
• The focus has shifted from merely writing code to executing it efficiently to achieve objectives.
• Recent models show improved reliability and capabilities compared to earlier versions.

Risks and Safeguards in Code Execution 03:11

• Importance of understanding potential risks associated with remote code execution (RCE) and agent behavior.
• Common risks include prompt injection, data exfiltration, and unintentional mistakes in code execution.

Framework for Safe Deployment 04:01

• OpenAI has established a preparedness framework to ensure safe deployment of coding agents.
• Key safeguards include sandboxing agents, limiting internet access, and requiring human review of operations.

Sandboxing Techniques 05:11

• Agents should ideally run in isolated environments, such as containers, to enhance security.
• Detailed methods for sandboxing on Mac OS and Linux are discussed, highlighting the importance of using rights management.

Managing Internet Access 07:45

• Disabling internet access is crucial to prevent prompt injection and ensure security.
• Codeex offers configurable options for internet access, allowing users to set security policies based on their needs.

Human Oversight in Code Execution 09:51

• Emphasizes the necessity of human review in the code approval process to prevent potential vulnerabilities.
• Utilizing review tools can assist in monitoring actions performed by the model.

Building and Testing Code Executing Agents 11:07

• Transitioning from traditional programming loops to a more streamlined approach where models can autonomously decide on actions.
• Introduction of tools like local shell and apply patch to facilitate safer code execution and dependency management.

Conclusion and Future Directions 13:05

• Reinforces the importance of sandboxing, limiting internet access, and maintaining human oversight for safe code execution.
• OpenAI plans to release more tools and documentation related to ML-based interventions and system controls.
• The team is hiring for roles focused on agent robustness and control, encouraging interested individuals to apply.