Summary
You've successfully implemented Microsoft Foundry governance policies for Contoso Healthcare, transforming an unmanaged AI infrastructure challenge into a scalable, compliant platform. Your governance framework now enables clinical researchers to provision Azure OpenAI resources in minutes while automatically enforcing HIPAA compliance, budget controls, and security baselines across all business units.
What you accomplished
You configured a hierarchical policy structure that balances universal security requirements with business unit flexibility. The base security policy ensures every AI workload uses managed identities and deploys to compliant regions, regardless of who requests it or which environment it targets. Business unit policies add budget enforcement and approval workflows tailored to each division's risk profile—Clinical Research gets experimental freedom with autoapproval, while Patient Services requires VP review for production deployments. The compliance scanner continuously monitors all resources, detecting configuration drift and automatically remediating violations within minutes rather than waiting for manual audits.
Key takeaways
- Policy inheritance creates maintainable governance: Define security requirements once at the organization level and let business units add contextual controls without duplicating rules.
- Preventive enforcement beats reactive auditing: Microsoft Foundry blocks noncompliant requests during provisioning rather than discovering violations weeks later through compliance scans.
- Environment-specific approval thresholds accelerate innovation: Development teams get self-service access under reasonable cost limits while production deployments receive appropriate stakeholder review.
- Auto-remediation closes compliance gaps automatically: The compliance scanner doesn't just report drift—it restores compliant configurations without manual intervention, reducing administrative overhead by an estimated 75%.