Possible False Positive Detection During a Codex Development Workflow

ChatGPT Support
1

I would like to discuss whether OpenAI’s current security systems adequately account for common development workflows involving Codex, remote desktop access, and multiple devices.

As a software developer, I regularly use Codex as part of my daily development workflow. Recently, I encountered what appears to be a security-related account enforcement action that may have been triggered by activity patterns associated with remote work.

The workflow involved the following scenario:

  • Using Codex on my personal computer.
  • Remotely connected to my office workstation.
  • Development work occurring simultaneously across both environments.
  • Activity originating from different network environments.
  • Both devices operated exclusively by the same person (myself).

From the perspective of an automated security system, this activity may appear unusual because the same account may generate activity from multiple devices and network environments within a relatively short period of time.

However, for many developers, this workflow is completely normal.

Remote work, remote desktop access, cloud development environments, and multi-device workflows have become standard practice across the software industry. Many developers routinely switch between office devices, personal devices, remote workstations, cloud environments, and testing machines throughout the day.

This raises an interesting question:

Should account security systems place greater emphasis on long-term behavioral consistency rather than relying primarily on short-term network signals?

For example, when evaluating potentially suspicious activity, additional signals may provide a more complete picture:

  • Long-term conversation continuity.
  • Consistent development-related usage patterns.
  • Stable device history.
  • Ongoing project continuity.
  • Historical account reputation.
  • Consistent user behavior over time.

In my case, reviewing several months of account activity would likely show:

  • Consistent software development usage.
  • Continuous project-related conversations.
  • Stable usage patterns.
  • No indication of account sharing.
  • No indication of account resale or unauthorized access.

I fully support OpenAI’s efforts to prevent abuse, account sharing, and unauthorized access. Strong security measures are important for protecting the platform.

At the same time, I wonder whether remote development workflows involving Codex, remote desktop access, and multiple devices could occasionally resemble suspicious activity from the perspective of automated detection systems.

I’m interested in hearing from other developers:

  • Have you used Codex across multiple devices?
  • Do you regularly work through remote desktop environments?
  • Have you encountered security flags or unexpected enforcement actions related to remote development workflows?
  • What best practices do you follow to avoid false positives?

I believe this is an important topic as remote work and AI-assisted development become increasingly common.

Thank you for reading, and I look forward to hearing the community’s perspectives.

2

Possible False Positive Suspension Caused by Remote Work and Multi-Device Usage

Account Email: [redacted]

Appeal Submitted: Yes

I have already contacted OpenAI Support and submitted a formal appeal. This post is intended to discuss whether others have experienced similar false positives related to remote work, remote desktop usage, multi-device workflows, or Codex usage.

My ChatGPT account was recently suspended, and I believe it may have been a false positive triggered by OpenAI’s automated security systems.

First, I would like to clearly state that this account has always been used exclusively by me. I have never shared, rented, sold, transferred, or otherwise provided access to any other person.

I use ChatGPT and Codex extensively for software development, documentation, project analysis, research, and productivity-related work.

The activity that appears to have triggered the suspension was a normal remote-work scenario.

At the time, I was working from home while remotely connected to my office computer. My office computer remained online within the company network, while I accessed it remotely from my home. At the same time, I was also using ChatGPT and Codex directly on my personal computer for development and testing tasks.

As a result, activity may have appeared from multiple network environments during the same time period.

From a security-system perspective, this may have looked like the same account being used from different locations simultaneously. However, all activity was performed by me personally as part of my normal development workflow.

What concerns me is that the suspension appears to have been triggered without sufficient consideration of long-term account behavior.

I respectfully suggest that reviewing only a short period of login activity may not provide a complete picture of how an account is actually used.

If OpenAI reviews my account history over the past several months, I believe the following patterns would be evident:

  • Consistent and stable usage habits over an extended period.

  • Long-term continuity across conversations, projects, and development work.

  • Consistent devices used to access the account.

  • No evidence of account sharing.

  • No evidence of account resale, rental, or unauthorized access.

  • Behavior that clearly reflects a single user rather than multiple individuals.

For developers and technical professionals, remote work, remote desktop access, and multi-device workflows have become extremely common.

If legitimate workflows such as these can trigger account suspensions, there may be an opportunity to improve the detection process by placing greater emphasis on long-term behavioral signals, conversation continuity, device consistency, and account history, rather than relying primarily on short-term network activity.

I understand and support the need for strong security measures to prevent abuse and account sharing. However, I hope that legitimate users working across multiple devices and network environments can be evaluated using a broader set of signals before enforcement actions are taken.

I have already submitted an appeal and am fully willing to cooperate with any verification process. I can provide subscription records, device information, usage history, and additional information if necessary.

Has anyone else experienced a similar situation involving:

  • Remote work

  • Remote desktop usage

  • Multiple devices

  • Codex development workflows

  • Office and home devices being active during the same period

If so, I would appreciate hearing about your experience and how the issue was resolved.

Thank you for reading.