Governance Update

[maheshbenke]

This pull request introduces a comprehensive governance framework for Azure AI services, focusing on centralized management across various aspects like resources, costs, security, operations, and regulatory compliance. The most important changes include the establishment of shared governance principles, detailed recommendations for resource and cost management, and guidelines for security, operational, and regulatory governance.

Governance framework establishment:

• GOVERNANCE.md: Added a new section outlining the governance principles for Azure AI services, emphasizing centralized management to enforce guardrails and manage risks.

Resource and cost management:

• GOVERNANCE.md: Included detailed recommendations for organizing resources and managing costs, such as using subscriptions to separate environments, enforcing tag usage, and monitoring costs with alerts.

Security governance:

• GOVERNANCE.md: Provided guidelines for centralizing identity management, configuring least privilege access, and enabling Azure Defender for advanced threat protection.

Operational governance:

• GOVERNANCE.md: Suggested best practices for operational governance, including using CI/CD pipelines, infrastructure as code (IaC), and version-controlling infrastructure changes.

Regulatory compliance:

• GOVERNANCE.md: Outlined steps to ensure compliance with industry-specific regulations, data residency policies, and using built-in regulatory compliance policies.