Misconfigured network access
Azure OpenAI resources deployed without private endpoints or firewall rules are reachable from the public internet.
AI Security
Azure AI Security Services
Run Azure OpenAI and AI Foundry workloads with identity, network, and audit controls built in.
Why Azure AI workloads need security
Azure OpenAI Service and AI Foundry are the fastest paths to production AI for many Microsoft shops, but they sit inside complex tenants with Entra ID, private endpoints, and data residency choices. One wrong setting can expose a model to the entire organization or the internet.
MHCIS designs Azure AI architectures that satisfy both security teams and compliance examiners.
Common risks
Entra ID role sprawl
Broad Cognitive Services roles grant access to models, keys, and deployment settings beyond what users need.
Data residency uncertainty
Prompts and completions may leave the intended region if endpoints and policies are not explicit.
Prompt injection through apps
Line-of-business apps calling Azure OpenAI often lack input validation and output filtering.
Weak audit coverage
Without Diagnostic Settings and Log Analytics, model usage is invisible to security and compliance teams.
What MHCIS does
Azure network hardening
Private endpoints, service endpoints, and NSGs to keep AI traffic inside your network boundary.
Entra ID and RBAC design
Least-privilege roles, conditional access, and managed identities for AI workloads.
Azure OpenAI governance
Deployment approvals, content filters, usage quotas, and audit logging for every model call.
Data protection
Encryption, key vault integration, and data residency controls for prompts and completions.
Monitoring and response
Sentinel or Log Analytics queries to detect anomalous AI access, data exfiltration, and abuse.
Checklist
Azure AI security essentials
- Deploy Azure OpenAI with private endpoints and disabled public access.
- Assign least-privilege Cognitive Services RBAC roles.
- Enable Diagnostic Settings and ship logs to Log Analytics or Sentinel.
- Configure content filters and abuse monitoring for each deployment.
- Validate data residency settings for prompts and completions.
- Use Azure Key Vault for all AI service keys and credentials.
- Add input validation and output filtering in every app calling Azure OpenAI.
Common questions
Straight answers to what regulated buyers ask first.
Related compliance
AI security work maps to the same compliance program we document on these pages.