For enterprises with Copilot Business or Copilot Enterprise plans, two separate policies control whether unconfigured generally available (GA) features and models default to enabled or disabled. If these policies are enabled, users benefit from the latest features and models without the need for administrator intervention.
The models policy is already active. The feature policy will become active soon.
Default availability of features
The Default policy for new features policy is available to configure but is not currently active. It will start applying to new and existing GA features from October 22, 2026. In your policy settings, you will see a banner showing how many eligible policies are currently unconfigured, so you can assess the impact of your global default and explicitly configure individual policies before October 22.
This policy is enabled by default. If you don't take action, unconfigured features will be enabled on October 22.
What does the policy do?
Your setting for this policy determines the enablement status of:
- New GA (general availability) features
- Features that move from preview to GA
- Existing GA features that are Unconfigured in your policy settings
The policy can be configured in an enterprise and its organizations. At the enterprise level, it applies to features labeled as Unconfigured. At the organization level, it applies to features that an enterprise owner has set to Let organizations decide, but that an organization owner has not explicitly configured.
The policy does not apply to features in preview.
What counts as a feature?
For the purposes of this policy, a "feature" refers to any policy configured on an enterprise's "Features & clients" page (github.com/enterprises/ENTERPRISE/ai-controls/copilot/features), plus:
- The Copilot code review policy on the "Agents" page
- The MCP servers in Copilot policy on the "MCP" page
The following policies are exceptions and are not affected:
- Restrictive model policies on GHE.com: Restrict Copilot to data residency models and Restrict Copilot to FedRAMP models
- Store local sessions in the Cloud for Copilot CLI and VS Code
Default availability of models
The Default availability for released models policy is active and affects new and unconfigured GA models.
Which models follow the policy?
A política padrão se aplica a modelos que você não configurou explicitamente. Esses modelos são indicados nas configurações de modelo da sua empresa ou organização com o rótulo Delegar para Política Padrão . Quando um novo modelo é lançado, ele herda o padrão até que você o configure explicitamente.
Os modelos a seguir não estão incluídos no escopo. Eles são desabilitados por padrão, independentemente da configuração de política "Disponibilidade padrão".
- Modelos pré-GA
- Modelos de pesos abertos (DeepSeek, Kimi K2.7 Code, Kimi K3)
- Modelos que não são cobertos pelo GitHubcontrato de retenção de dados (Claude Fable 5, Claude Fable 5.1)
- Para empresas que restringiram os modelos a modelos com residência de dados ou compatíveis com o FedRAMP, quaisquer modelos que não respeitem essas políticas
How do I prevent default enablement?
To disable default enablement entirely, disable the default policies in your enterprise or organization's settings. You can set a policy for the entire enterprise, or disable the policy only in organizations with stricter compliance requirements.
If you keep the default availability policies enabled, you can explicitly disable individual features and models so that they are not eligible for automatic enablement.
- For features, see Gerenciando políticas e recursos para GitHub Copilot em sua empresa and Gerenciando políticas e recursos para GitHub Copilot em sua organização.
- For models, see Gerenciando a disponibilidade de modelos em sua empresa and Gerenciando a disponibilidade de modelos em uma organização.
How do I prepare for new releases?
We recommend keeping up with new releases and GA announcements so you can choose your enablement settings. New features and models are announced on GitHub's changelog. For more information, see Aprendendo sobre novos recursos e modelos.