过去几个月，我们与客户及合作伙伴合作，我们也在更新我们的使用政策
GPT‐6 Astra等模型扩展了开发商和企业可以建设的东西。 随着这些能力的增强，我们正在努力在提供我们模式的服务中保持有效的保障措施，并始终如一地加以应用。
在部署一个模型之前，我们评估其能力和风险，培训其遵循安全要求，并测试当人们故意绕过时其保障措施是否仍然有效。 正如我们在安全与协调方面所描述的那样，我们把旨在相互加强的保障措施结合起来。
部署后，我们监测可能的虐待行为并调查关切。 例如，为了减少网络滥用，我们培训模型拒绝有害的请求，并使用寻找各种相互作用的可疑模式的系统来决定如何应对。 信任准入方案提供了另一层保护，并为获得我们最强大的能力规定了资格要求和条件。
模式中包含一些保障措施，而其他保障措施则取决于其系统和周围的人。 无论人们直接还是通过伙伴接触我们的模型，两者都需要有效。
开发商和企业应能够选择使用我们模式的地点，并在这些服务中提供一致的保障。 我们制定了各种政策，调整各供应商的保障措施，并正在与我们的每一个伙伴共同努力，确保这些政策的执行符合或超过我们的安全标准。 这些政策适用于人们是否直接通过OpenAI、东道伙伴或通过转售伙伴获取我们的模型。
这些政策要求提供OpenAI模式的合作伙伴保持与我们自己的保障措施相一致，调查潜在的侵权行为，并在发现关切问题时采取适当行动。 这包括协调执法工作，以便在提供我们模式服务的各种服务中实行有效的限制。
将这一点付诸实践意味着说明不同的服务如何运作以及客户如何使用这些服务。 我们与客户和合作伙伴在私营安全处理方面的工作就是一个例子，说明我们如何能够制定有效的保障措施，同时给予客户对其敏感数据的更大选择和控制。
我们还在更新2026年11月20日生效的使用政策，更新后的《使用政策》以这项工作为基础，要求提供可直接访问我们的模型的服务，如模式路由器或AI网关，以便在提供这种访问之前得到我们的审查和批准。
客户和合作伙伴如何提出问题或解决遵守问题。
随着我们的模型能力增强，我们将不断改进我们发现、调查和应对滥用的方法。 客户可以通过他们的终端用户面临误用，账户失密，或者泄露API密钥，我们与他们合作来理解和解决这些问题。
客户可以提供安全ID，帮助我们区分个别最终用户，通过安全识别码，我们可以更准确地应对可能的滥用，同时减少对他人的干扰。
我们根据有文件记载的行为和风险作出强制执行决定，始终如一地适用我们的规则，并按情况作出相应反应。 当我们限制准入时，如果行为、承诺或保障措施发生有意义的变化，解决我们决定背后的关切，我们就重新审查这些限制。
我们希望有更多的人受益于AI. 明确的规则和一致的保障措施应使开发商和企业更容易建立、竞争和选择对他们最有利的服务。
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Over the past few months, we’ve worked with customers and partners to align safety policies across services that provide our models. We’re also updating our Usage Policies to make those requirements clearer and easier for developers to follow.
Models such as GPT‑6 Astra expand what developers and businesses can build. As those capabilities grow, we’re working to keep safeguards effective and consistently applied across the services that offer our models.
Before deploying a model, we evaluate its capabilities and risks, train it to follow safety requirements, and test whether its safeguards hold up when people deliberately try to bypass them. As we describe in our approach to safety and alignment, we combine safeguards designed to reinforce one another.
After deployment, we monitor for potential abuse and investigate concerns. To mitigate cyber misuse, for example, we train models to refuse harmful requests and use systems that look for suspicious patterns across interactions to decide how to respond. Trusted access programs provide another layer of protection and set eligibility requirements and conditions for access to our most powerful capabilities.
Some safeguards are built into the model and others depend on the systems and people around it. Both need to be effective whether people access our models directly or through a partner.
Developers and businesses should be able to choose where they access our models, with consistent safeguards across those services. We developed policies to align our safeguards across providers and are working with each of our partners to ensure their implementation meets or exceeds our safety standards. These policies apply whether people access our models directly through OpenAI, partners that host them, or through reseller partners.
These policies require partners that provide access to OpenAI models to maintain safeguards consistent with our own, investigate potential violations, and take appropriate action when concerns are identified. That includes coordinating on enforcement so that restrictions remain effective across services providing access to our models.
Putting this into practice means accounting for how different services work and how customers use them. Our work with customers and partners on Private Safety Processing is one example of how we can develop effective safeguards while giving customers greater choice and control over their sensitive data.
We’re also updating our Usage Policies, effective November 20, 2026, to clarify the rules for safe model development and sensitive uses of AI. The updated Usage Policies build on that work by requiring services that provide direct access to our models such as model routers or AI gateways to get our review and approval before offering that access.
We’ll keep explaining what’s allowed, what’s restricted, and how customers and partners can ask questions or resolve compliance concerns.
As our models become more capable, we’ll keep improving how we detect, investigate, and respond to misuse. Customers can face misuse through their end users, compromised accounts, or leaked API keys and we work with them to understand and address those problems.
We’re also working with customers to introduce SafetyIDs, which customers can provide to help us distinguish between individual end users in an investigation without OpenAI learning those users’ identities. With SafetyIDs, we can respond to potential misuse more precisely while reducing disruption to others.
We base enforcement decisions on documented conduct and risk, apply our rules consistently, and respond in proportion to the circumstances. When we restrict access, we revisit those restrictions if meaningful changes in conduct, commitments, or safeguards address the concerns behind our decision.
We want more people to benefit from AI. Clear rules and consistent safeguards should make it easier for developers and businesses to build, compete, and choose the services that work best for them.
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