Safety Testing for Deep Research Model Deployment
Pre-deployment checks for AI models, focusing on safety, risk evaluation, and mitigation effectiveness.
before
Deploying AI models, especially those with new capabilities like web browsing.
A checklist for safety testing AI models before deployment. It includes steps like red teaming, risk evaluation, reviewing mitigations, ensuring score thresholds are met, and strengthening privacy and resistance to malicious instructions.
Ensures a thorough safety review process, reducing risks associated with AI model deployment by addressing potential vulnerabilities and harms.
This checklist is specific to AI model deployment safety protocols.
- Deep research System Card ↗OpenAI · OpenAI News · Feb 25, 2025 · paraphrased
First seen on Subvolts Feb 25, 2025. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Deep research System CardOpenAI · OpenAI News · Feb 25, 2025
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicAI Model Deployment Risk ThresholdsUse score thresholds to guide AI model development and deployment decisions. · 1 min
- HeuristicAI agents need time-awareness for runtime controlAI agents require a sense of time to predict, estimate, and control their own actions and execution duration. · 5 min
- ChecklistFramework for building trustworthy AI agentsFive core principles for developing reliable and secure AI agents. · 10 min
- ChecklistAI incident disclosure standards checklistConsiderations for establishing standards in reporting AI misalignment and unexpected behavior. · 10 min
- ChecklistAudit agent actions for staged prompt injectionChecklist for auditing agent actions before they occur to block staged prompt injection. · 15 min
- HeuristicAudit agent actions before they occur to block attacksBlock malicious instructions at the boundary of an agent's interaction to prevent unauthorized actions or data leaks. · 30 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.

