1# Cyber Safety1# Models and Trusted Access
2 2
3> For the complete documentation index, see [llms.txt](https://learn.chatgpt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL.3> For the complete documentation index, see [llms.txt](https://learn.chatgpt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL.
4 4
5[GPT-5.3-Codex](https://openai.com/index/introducing-gpt-5-3-codex/) is the first model we are treating as High cybersecurity capability under our [Preparedness Framework](https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf), which requires additional safeguards. These safeguards include training the model to refuse clearly malicious requests like stealing credentials.5OpenAI Daybreak helps approved users perform authorized defensive cybersecurity work. Daybreak Blue provides access to flagship models with reduced refusals for authorized defensive workflows. Daybreak Red provides separately approved access to specialist cyber models for more advanced security research.
6 6
7In addition to safety training, automated classifier-based monitors detect signals of suspicious cyber activity and route high-risk traffic to a less cyber-capable model (GPT-5.2). We expect a very small portion of traffic to be affected by these mitigations, and are working to refine our policies, classifiers, and in-product notifications.7Combine your approved model with a controlled environment, clear limits on approved systems and actions, least-privilege permissions, and automatic review before sensitive actions run. Use the model only with the approved identity, workspace or API organization and project, and product surface.
8 8
9## Why we’re doing this9## Choose the right model
10 10
11Over recent months, we’ve seen meaningful gains in model performance on cybersecurity tasks, benefiting both developers and security professionals. As our models improve at cybersecurity-related tasks like vulnerability discovery, we’re taking a precautionary approach: expanding protections and enforcement to support legitimate research while slowing misuse.11Start with **GPT-Daybreak-Blue** for most authorized defensive work. This model provides access to advanced capabilities with reduced refusals for defensive security workflows, including:
12 12
13Cyber capabilities are inherently dual-use. The same knowledge and techniques that underpin important defensive work — penetration testing, vulnerability research, high-scale scanning, malware analysis, and threat intelligence — can also enable real-world harm.13- Vulnerability discovery and triage.
14- Secure code review and threat modeling.
15- Detection engineering and incident response.
16- Malware analysis in a controlled environment.
17- Remediation and patch validation.
14 18
15These capabilities and techniques need to be available and easier to use in contexts where they can be used to improve security. Our [Trusted Access for Cyber](https://openai.com/index/trusted-access-for-cyber/) pilot enables individuals and organizations to continue using models for potentially high-risk cybersecurity activity without disruption.19**GPT-Daybreak-Red** is a specialist cyber model for separately approved, explicitly authorized workflows, such as controlled vulnerability reproduction, proof-of-concept or exploit validation, penetration testing, red teaming, and complex system analysis. It isn't the default choice for routine security work, and access isn't available automatically or on every surface.
16 20
17## How it works21These advanced workflows can resemble malicious activity without clear authorization. Use the approved model and surface only for systems you own or are explicitly authorized to assess, and keep appropriate human oversight in place.
18 22
19Developers and security professionals doing cybersecurity-related work or similar activity that could be [mistaken](#false-positives) by automated detection systems may have requests rerouted to GPT-5.2 as a fallback. We expect a very small portion of traffic to affected by mitigations, and are actively working to calibrate our policies and classifiers.23For example:
20 24
21The latest alpha version of the Codex CLI includes in-product messaging for25- **GPT-Daybreak-Blue:** Review the approved lab repository for authentication weaknesses, rank findings by evidence and impact, and propose patches without accessing external systems.
22 when requests are rerouted. This messaging will be supported in all clients in26- **GPT-Daybreak-Red:** Within the approved lab and testing window, reproduce the documented authentication flaw, validate a minimal proof of concept, and stop before credential access, persistence, or production changes.
23 the next few days.
24 27
25Accounts impacted by mitigations can regain access to GPT-5.3-Codex by joining the [Trusted Access](#trusted-access-for-cyber) program below.28## Trusted Access for Cyber
26 29
27We recognize that joining Trusted Access may not be a good fit for everyone, so we plan to move from account-level safety checks to request-level checks in most cases as we scale these mitigations and [strengthen](https://openai.com/index/strengthening-cyber-resilience/) cyber resilience.30Request **Daybreak access** through [Trusted Access for Cyber](https://help.openai.com/en/articles/20001258-trusted-access-for-cyber). Access depends on approval and provisioning for your specific identity or service, ChatGPT workspace or API organization and project, authorized offering and model, and allowed product surface.
28 31
29## Trusted Access for Cyber32- Individuals can request access through the [individual Trusted Access application](https://chatgpt.com/cyber).
33- Organizations can submit the [enterprise Trusted Access request form](https://openai.com/form/enterprise-trusted-access-for-cyber/) and coordinate with their OpenAI representative.
30 34
31We are piloting "trusted access" which allows developers to retain advanced capabilities while we continue to calibrate policies and classifiers for general availability. Our goal is for very few users to need to join [Trusted Access for Cyber](https://openai.com/index/trusted-access-for-cyber/).35Submitting an application or completing identity verification doesn't guarantee approval.
32 36
33To use models for potentially high-risk cybersecurity work:37Applying, verifying your identity, or receiving approval for Daybreak Blue
38 doesn't grant access to Daybreak Red or GPT-Daybreak-Red. The specialist
39 offering requires separate approval and provisioning.
34 40
35- Users can verify their identity at [chatgpt.com/cyber](https://chatgpt.com/cyber)41For enterprise access, use the approved workspace, API organization, or project only for your organization's authorized internal work. Don't extend it to external users, third-party customers, externally offered services, downstream product features, or systems outside the approved work. If the approved identity, workspace, API organization, project, model, or surface is unclear, stop and confirm it with your OpenAI representative.
36- Enterprises can request [trusted access](https://openai.com/form/enterprise-trusted-access-for-cyber/) for their entire team by default through their OpenAI representative
37 42
38Security researchers and teams who may need access to even more cyber-capable or permissive models to accelerate legitimate defensive work can express interest in our [invite-only program](https://docs.google.com/forms/d/e/1FAIpQLSea_ptovrS3xZeZ9FoZFkKtEJFWGxNrZb1c52GW4BVjB2KVNA/viewform?usp=header). Users with trusted access must still abide by our [Usage Policies](https://openai.com/policies/usage-policies/) and [Terms of Use](https://openai.com/policies/row-terms-of-use/).43Trusted Access doesn't automatically grant [Zero Data Retention](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring). Confirm any separately approved retention controls for the exact API organization and applicable endpoint before you begin.
39 44
40## False positives45## False positives
41 46
42Legitimate or non-cybersecurity activity may occasionally be flagged. When rerouting occurs, the responding model will be visible in API request logs and in with an in-product notice in the CLI, soon all surfaces. If you're experiencing rerouting that you believe is incorrect, please report via `/feedback` for false positives.47Legitimate cybersecurity or unrelated activity can still trigger a safeguard. If a safeguard blocks, reroutes, or limits a request, inspect the available client notice and request logs. Review [Common Issues and Troubleshooting](https://help.openai.com/en/articles/20001259) for details to collect and next steps. Report suspected Codex false positives through `/feedback` when available. For API access restrictions and appeals, follow the [API cybersecurity checks guidance](https://developers.openai.com/api/docs/guides/safety-checks/cybersecurity#appeals).
48
49All users remain subject to the [Usage Policies](https://openai.com/policies/usage-policies/) and [Terms of Use](https://openai.com/policies/row-terms-of-use/).
50
51## Configure your security workflow
52
53Trusted Access governs approved model access, but it doesn't configure your environment, enforce limits on approved systems and actions, or review proposed actions.
54
55- [Use the recommended configuration](https://learn.chatgpt.com/docs/cyber-safety/recommended-configuration) for isolation, least-privilege permissions, clearly defined boundaries, and guardrails for sensitive actions.