AI lifecycle governanceAI Model Lifecycle
The AI model lifecycle covers conception, data, development, testing, release, operation, change, retirement, and evidence preservation.
Access control modelAttribute-Based Access Control
Attribute-based access control evaluates characteristics of the subject, resource, action, and environment to make a contextual access decision.
Routing securityBGP Route Security
BGP route security applies policy, filtering, validation, monitoring, and operational discipline to reduce accidental or malicious route announcements.
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.