How we monitor internal coding agents for misalignment
OpenAI Blog / 3/19/2026
💬 OpinionIdeas & Deep AnalysisTools & Practical UsageModels & Research
Key Points
- OpenAI outlines chain-of-thought monitoring as a tool for studying misalignment in internal coding agents, focusing on how they reason and decide actions.
- The article covers analyzing real-world deployments to identify risk signals and inform improvements to AI safety safeguards.
- It describes how findings from monitoring are used to strengthen alignment, governance, and risk management processes across internal AI systems.
- It notes practical challenges and trade-offs, including observational overhead, privacy considerations, and ensuring reliable interpretation of the collected data.
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
