Governance practiceCloud AI Services Governance
Cloud AI services governance controls how managed machine-learning, generative AI, language, vision, and decision services are selected, configured, and used.
Application architectureCloud API Management
Cloud API management publishes, secures, observes, versions, and governs interfaces used by applications, partners, and services.
Governance structureCloud Account and Resource Hierarchy
Cloud account and resource hierarchies organize tenants, organizations, accounts, subscriptions, projects, folders, resource groups, and resources into manageable administrative boundaries.
Governance frameworkCloud Adoption Frameworks
Cloud adoption frameworks organize the strategy, people, governance, platform, security, migration, and operations work required to adopt cloud services deliberately.
Assurance practiceCloud Audit Evidence
Cloud audit evidence demonstrates how cloud controls are designed and operating through configuration, logs, assessments, access reviews, provider reports, tickets, approvals, and automated test results.
Operational practiceCloud Automation and Orchestration
Cloud automation performs repeatable tasks through code and APIs, while orchestration coordinates multiple automated steps into a controlled workflow.