OpenAI launches Deep Research, an agentic capability powered by an early version of o3 that conducts multi-step internet research for complex tasks, with comprehensive safety testing and privacy protections implemented before rollout to Pro users.
This report outlines the safety work carried out prior to releasing deep research including external red teaming, frontier risk evaluations according to our Preparedness Framework, and an overview of the mitigations we built in to address key risk areas.
# Deep research System Card
Source: [https://openai.com/index/deep-research-system-card/](https://openai.com/index/deep-research-system-card/)
Deep research is a new agentic capability that conducts multi\-step research on the internet for complex tasks\. The deep research model is powered by an early version of OpenAI o3 that is optimized for web browsing\. Deep research leverages reasoning to search, interpret, and analyze massive amounts of text, images, and PDFs on the internet, pivoting as needed in reaction to information it encounters\. It can also read files provided by the user and analyze data by writing and executing python code\. We believe deep research will be useful to people across a wide range of situations\.
Before launching deep research and making it available to our Pro users, we conducted rigorous safety testing, Preparedness evaluations and governance reviews\. We also ran additional safety testing to better understand incremental risks associated with deep research's ability to browse the web, and added new mitigations\. Key areas of new work included strengthening privacy protections around personal information that is published online, and training the model to resist malicious instructions that it may come across while searching the Internet\.
At the same time, our testing on deep research also surfaced opportunities to further improve our testing methods\. We took the time before broadening the release of deep research to conduct further human probing and automated testing for select risks\.
Building on OpenAI’s established safety practices and Preparedness Framework, this system card provides more details on how we built deep research, learned about its capabilities and risks, and improved safety prior to launch\.
OpenAI launches deep research, an agentic capability in ChatGPT powered by o3 that autonomously conducts multi-step internet research to produce comprehensive analyst-level reports, with expanded access and features as of February 2026.
OpenAI released system cards for o3 and o4-mini models, which feature advanced reasoning capabilities combined with tool integration (web browsing, Python, image analysis, etc.) and are evaluated under OpenAI's Preparedness Framework v2 for safety in biological, cybersecurity, and AI self-improvement domains.
OpenAI releases the o3-mini System Card, documenting safety evaluations and risk assessments for their advanced reasoning model trained with reinforcement learning. The model achieves state-of-the-art safety performance on certain benchmarks and is classified as Medium risk overall under OpenAI's Preparedness Framework.
OpenAI releases the o1 System Card detailing safety evaluations and preparedness framework assessments for the o1 and o1-mini models, which use chain-of-thought reasoning trained with large-scale reinforcement learning to improve safety and robustness.
Google DeepMind launches Deep Research and Deep Research Max, Gemini 3.1 Pro-powered autonomous research agents with MCP support for enterprise workflows.