OpenAI reports Codex Ultrafast shortened some investigations to 10–15 minutes
NO IMAGE
AI Cybersecurity

OpenAI reports Codex Ultrafast shortened some investigations to 10–15 minutes

OpenAIOct 27, 2026

OpenAI engineers describe using Codex’s Ultrafast mode for incident response, reporting that some security investigations fell from an hour or two to 10–15 minutes.

OpenAI says engineers are using Ultrafast, a high-speed mode in Codex, as a default tool for incident response. In an account published October 26, 2026, staff describe directing Codex to monitor incident discussions, investigate possible causes and answer follow-up questions while response teams work.

The time savings vary by task. AJ Trbojevic, a datacenter security architect at OpenAI, said that assembling and interpreting structured and unstructured information during security investigations previously took an hour or two. He reported that the work now takes 10 to 15 minutes in the cases he described, and can sometimes happen nearly in real time. These are employee-reported experiences, not a controlled evaluation across all incidents.

The workflow draws on more than one information source. Engineers described using Codex to examine logs and search Slack for references to recent changes or similar symptoms. OpenAI staff also said the faster responses help them stay focused instead of pursuing an investigation manually in parallel while waiting for the assistant.

The account describes uses beyond security response. One engineer said most of his Codex interactions now return in under 30 seconds, a pace he finds useful for quick follow-ups. Another said faster assistance made large code refactors feel less costly. OpenAI also describes staff using persistent Codex conversations for daily planning and delegating repetitive browser tasks such as filling out forms.

The examples are part of OpenAI’s series about its internal use of its own technology and APIs. They illustrate how the company says a faster coding assistant fits into specific staff workflows; they do not establish that the same time savings will apply to other teams or organizations.

Industry Impact

Faster incident investigations

Cybersecurity operations, software development, data-center security

Overview

OpenAI engineers say Codex Ultrafast helps teams investigate incidents by examining logs and searching Slack for relevant changes or similar symptoms. In cases described by a datacenter security architect, work that previously took an hour or two took 10 to 15 minutes. For cybersecurity professionals, this could reduce time spent gathering information and help teams stay focused during response. However, these are employee-reported examples, not results from a controlled evaluation, so other organizations should validate the impact in their own workflows.

Key Impact Points

Codex can bring together information from logs and Slack during an investigation.

Reported investigation times fell from an hour or two to 10–15 minutes in some cases.

The examples show a workflow benefit, but do not establish results across all incidents or organizations.

Opportunities

AI-assisted incident response

Cybersecurity operations, data-center security, enterprise software

The account points to a practical opportunity for security teams: use a coding assistant to gather and interpret incident context across logs and collaboration discussions, while responders retain oversight. Teams could test whether this reduces investigation delays and context-switching in their own environments. The article does not describe a new commercial product, external customer results, or a direct revenue model. Any business value would therefore be operational—potentially faster investigations and more focused staff time—rather than demonstrated revenue growth. OpenAI’s reported results are specific to employee experiences and should not be assumed to generalize.

  • AI-assisted security investigation workflow

    Problem: Security investigations can take an hour or two to assemble and interpret information from multiple sources.

    Solution: Evaluate an assistant workflow that searches logs and Slack for incident context and answers follow-up questions, with responders reviewing its findings.

    Target Users: Cybersecurity professionals and incident response teams.

    Business Value: Potentially reduce time spent gathering information and help responders remain focused; OpenAI staff reported 10–15-minute investigations in some cases.

    Revenue Potential: No direct revenue opportunity is established in the article; potential value is operational efficiency.

Reference link

https://openai.com/index/openai-cut-incident-investigation

Image Source Link

https://media.wired.com/photos/69b092fdb9e03828e1c694b8/191:100/w_1280,c_limit/FF_CODINGAGENTS_MJQ_20260209_SF_WIRED_OPENAI_1111.jpg

Community Discussion (0)

Loading discussions...