Entra, RBAC and PIM
Use human and workload identities, least-privilege roles and time-bound administration as primary control boundaries.
Azure cloud security
Secure the Azure workload
as a connected control system.
MAITS applies identity-first security architecture across users, workloads, network boundaries, secrets, platform policy and telemetry.
Security architecture, not a product checklist
The objective is a defensible trust model with clear controls and ownership — using Azure capabilities where they fit the workload.
Defence in depth
Identity, edge, workload and control plane must agree.
EDGEFront Door · WAF · API gateway
WORKLOAD TRUST BOUNDARY
Managed identitiesPrivate endpointsKey VaultPlatform services
CONTROL PLANEEntra · RBAC · PIMPolicy · Defender for CloudMonitor · Sentinel
Architecture capability
Build controls into the platform path.
Managed identities and secrets
Prefer managed identity where supported; use Key Vault and disciplined secret lifecycle where credentials remain necessary.
Private connectivity
Design virtual networks, private endpoints, name resolution and egress so service exposure matches the intended trust boundary.
Front Door, WAF and API Management
Place routing, web protection, API policy and origin controls into a coherent external access architecture.
Azure Policy and Defender for Cloud
Define platform expectations, assess posture and surface workload protection findings in an accountable process.
Monitor and Sentinel integration
Design useful logs, alert routes and investigation context without claiming that tooling alone provides a security operation.
Zero Trust in Azure
Verify explicitly. Use least privilege. Assume breach.
MAITS translates those principles into concrete trust boundaries, identity paths, network exposure, administrative access, data protection and observable control outcomes.
The design considers failure and compromise: how a workload authenticates, what it can reach, where policy is enforced, how privilege is activated and which evidence supports response.
Threat modelLanding-zone alignmentWorkload identityPrivate accessKey managementControl evidence
Workload & non-human identity
Give every machine identity an owner, purpose and end.
Remove credentials where Azure can
Use system- or user-assigned managed identities for supported Azure resources and make their role assignments and ownership visible.
Workload identity federation
Use federated credentials where supported to exchange trusted workload assertions without maintaining another long-lived application secret.
Service principals and app identities
Govern app registrations, enterprise applications, OAuth clients, certificates, API permissions and consent as production identities.
Credential and privilege hygiene
Define ownership, rotation, expiry, least privilege, monitoring and removal for every non-human identity that remains.
Azure workload coverage
Apply the trust model consistently across the platform.
The exact control set depends on service capability, data sensitivity and exposure — not a generic cloud checklist.
Entry points
Front Door · WAF · API Management · origin restrictions · workload authentication
Compute
App Service · Functions · containers · managed identities · deployment and administration paths
Services
Storage · SQL · Service Bus · Redis · private endpoints · encryption and access boundaries
Guardrails & evidence
RBAC · PIM · Azure Policy · Defender for Cloud · Monitor · Log Analytics · Sentinel integration
Engagement path
From trust boundary to implementable controls.
Frame
Understand workload purpose, data, actors, dependencies and shared-responsibility boundaries.
Model
Expose threat paths, trust assumptions, privileged operations and failure impact.
Design
Map proportionate identity, network, data, platform and telemetry controls.
Assure
Review implementation evidence, exceptions, ownership and operational readiness.
Start a conversation
Make Azure security decisions visible and defensible.
Bring a new workload, an architecture under review or a cloud security concern.