Possible False Positive Detection During a Codex Development Workflow

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.