How do we set up least-privilege admin roles for Gemini across global and project scopes?

To ensure GitHub Copilot's features meet WCAG 2.2 AA standards, accessibility checks focus on the user interface and interactions within the supported IDEs, like Visual Studio Code. However, it's crucial to understand that AI-generated code is not guaranteed to be accessible and requires human review and testing.

To localize Copilot for multi-language teams, users can change their personal language settings in Microsoft 365, while administrators or developers can localize specific Copilot agents and app components via Copilot Studio and the Teams Toolkit. This approach ensures that both the user interface (UI) and custom content are delivered in the correct language for a diverse workforce.

Setting up Cloud Logging sinks and making sure the target Pub/Sub topic or Cloud Storage bucket has the right permissions are necessary for exporting Vertex AI logs to a Security Information and Event Management (SIEM) system with least-privilege scopes.

To train support teams for Azure OpenAI Service, provide comprehensive training on common tickets and troubleshooting, utilize Microsoft Learn resources and the Azure portal for guidance, and implement pre-prepared responses and a structured internal knowledge base for quick resolutions. Leverage tools like the Azure AI Foundry portal to practice fine-tuning and evaluate models, and foster continuous learning through internal communication channels and access to experts for complex issues.

To restrict Amazon Bedrock features to a pilot group, you can use a combination of AWS Identity and Access Management (IAM) policies and feature flags managed by a service like AWS AppConfig. IAM policies control permissions at the AWS account level, while feature flags allow for dynamic, in-application control over features based on user attributes or segments.