Model policies
Rules controlling which AI models are used and how, often for enterprise security and cost management.
Model policies are like a set of rules for using AI tools within a company. They decide which specific AI models employees can access and what they can do with them. This helps businesses manage costs, ensure data privacy, and maintain security.
For example, a company might have a policy that only allows employees to use a specific AI model for drafting emails, but not for accessing sensitive customer data. Another policy might block the use of certain AI models altogether if they are not approved by the IT department.
Model policies are configurations that govern the selection and utilization of AI models within an organization's infrastructure. These policies dictate which models are accessible, set usage quotas, define data handling restrictions, and can enforce specific versions or fine-tuned variants. They are crucial for enterprise AI adoption, enabling control over costs, security, compliance, and performance.
Microsoft Copilot's recent deprecation of the MAI-Code-1-Flash model highlights the dynamic nature of model policies. As labs update their offerings, enterprises must adapt their configurations to ensure continued access to supported models and maintain compliance with internal guidelines.
- MAI-Code-1-Flash deprecatedMicrosoft · GitHub Changelog: Copilot ·
- Microsoft Copilot
- Microsoft Copilot uses model policies to manage which AI models are available to users and how they can be accessed, as seen with the deprecation of MAI-Code-1-Flash.
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The concept of model policies emerged from the need for organizations to manage and control the use of AI technologies, particularly in enterprise settings where security, cost, and compliance are paramount.
Explore the settings or documentation for your AI tool's enterprise version. Look for sections on 'model selection,' 'access controls,' or 'usage policies.' You might find options to choose between different model versions or to set limits on how often you can use certain features.
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Questions people ask
- Why would a company use model policies?
- Companies use model policies to control costs, protect sensitive data, ensure compliance with regulations, and manage the security risks associated with AI usage.
- Can individual users set model policies?
- Typically, model policies are set by administrators or IT departments for an entire organization. Individual users usually operate within the constraints defined by these policies.
First seen on Subvolts Sep 10, 2026. Updated Sep 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.