Move AI to production.
Govern it continuously.
A production-ready governance layer for Azure AI Foundry, AI services and agents - with identity, policy, security, auditability, observability and cost control built in.
Establish the governed foundation teams need to move AI services and agents into enterprise production.
Identity, policy, security, evaluation and audit controls remain active throughout the AI lifecycle.
Telemetry, cost guardrails and operational evidence turn AI governance into an ongoing capability.
AI experiments are easy.
Operating AI is harder.
Production AI needs more than a model endpoint. It needs identity, lifecycle control, evidence, policy, network boundaries, cost guardrails and a way to operate change safely.
Use managed identities, role governance and least-privilege access instead of unmanaged secrets.
Apply repeatable guardrails and governance requirements continuously across AI environments.
Make observability, auditability, cost and lifecycle controls part of how AI runs - not an afterthought.
Govern agents, models and AI operations.
MyPlatform AI provides the control structure required to move from experimentation into accountable enterprise operations.
Apply operational and security controls consistently across governed AI environments.
Use controlled evaluation and lifecycle checkpoints before changes move into production.
Track token usage, apply budgets and caps, and enforce spending limits at agent and project level.
Operate AI with controlled change patterns and a fast route back when production behavior changes.
Govern the full AI lifecycle.
MyPlatform AI connects the controls required across experimentation, deployment and production into one continuously operated governance model.
From AI experiment to governed production.
See how MyPlatform governs agents, AI environments and production operations without forcing teams to build the governance layer from scratch.
See governance operating across agents and AI environments.
Watch how MyPlatform AI connects governance, lifecycle and operational control around production AI.
Stop governing AI after the fact.
Give AI teams a governed route from experimentation to production - with controls that remain operational as agents, models and requirements evolve.