Find and Fix Security Exposure Across Azure VMs and Cloud Workloads

Assess Azure VMs, App Service, Functions, AKS, containers, registries, images, patching, endpoint protection, vulnerability findings, and closure evidence.

Secure build, deploy, run, and retire

Find exploitable exposure across Azure compute and application platforms

Azure workload security spans virtual machines, virtual machine scale sets, App Service, Functions, Kubernetes, containers, registries, images, automation, extensions, runtime identities, and software dependencies. Each service divides responsibility differently. The organization must know which operating systems and runtimes it patches, which platform settings Microsoft maintains, how code and images enter production, which identities workloads use, how vulnerabilities are found, and how fixes are verified.

This guide focuses on vulnerability and hardening evidence across IaaS and PaaS. It complements the cloud workload, container, and image vulnerability scanning service by explaining the full assessment and remediation context around the scan results.

Do not scan production without authorization. Agent deployment, authenticated scanning, registry inspection, DAST, package updates, restarts, and exploit validation can affect performance or availability. Use approved tools, defined targets, safe rate limits, maintenance windows, and rollback procedures.

Workload inventory

Classify the service before assigning security responsibility

IaaS

Virtual machines and scale sets

The customer usually owns guest operating-system hardening, patching, endpoint protection, local accounts, software, extensions, secrets, host firewall, vulnerability remediation, application configuration, and backup. Azure manages the physical host and fabric.

PaaS

App Service and Functions

Microsoft manages more of the operating platform, but the customer still owns application code, dependencies, authentication, managed identities, access restrictions, TLS, configuration, deployment slots, secrets, logging, and supported runtime selection.

Containers

AKS, registries, and images

Responsibilities include cluster identity, API access, node pools, version support, network policy, workload identity, admission control, image provenance, registry access, secrets, runtime security, vulnerabilities, and Kubernetes RBAC. The exact split depends on the service and configuration.

Automation

Runbooks, agents, extensions, and pipelines

Automation can hold broad permission and execute at scale. Review identities, hybrid workers, scripts, variables, certificates, webhooks, repositories, approvals, logging, and the ability to change production.

Workload security lifecycle

Stop vulnerabilities from moving unchecked into runtime

SourceCode · modules · packages · base images
BuildReview · SAST · SCA · secret scanning · signed artifacts
RegistryPrivate access · RBAC · image assessment · retention
DeployApproved pipeline · IaC · admission control · managed identity
RunHardening · EDR · runtime monitoring · patching · segmentation
RetireRemove identities · images · secrets · data · exposure

Virtual machines

Harden the guest, the Azure resource, and every administrative path

A VM assessment should combine Azure configuration, guest evidence, vulnerability data, endpoint protection, identity, network reachability, monitoring, and recovery.

AreaWhat to checkEvidenceBusiness risk
Image and supportPublisher, image, generation, OS version, lifecycle, custom image ownerVM and image inventory, support recordsUnsupported operating systems accumulate unfixable exposure
Patch managementAzure Update Manager, orchestration mode, assessment, maintenance configuration, reboot behavior, exceptionsCompliance export, job history, change ticketsKnown vulnerabilities remain exploitable or updates cause unplanned outage
Endpoint protectionDefender for Endpoint or approved EDR, sensor health, tamper protection, exclusions, alert routingCoverage report, device timeline, sample incidentCompromise may persist without detection or containment
Vulnerability assessmentDefender for Servers, agentless scanning, authenticated scanner, software inventory, finding ageAsset findings, scan scope, timestamps, exceptionsCritical exposure is unknown or mis-prioritized
Administrative accessBastion, JIT, Entra login, SSH keys, local accounts, RDP, serial console, extensionsNSGs, JIT policy, login roles, account inventory, logsStolen credentials or public management ports enable takeover
Disk and dataEncryption, customer-managed key need, temporary disk, snapshots, backup, secret storageDisk settings, Key Vault, snapshots, backup policySensitive data may be exposed or unrecoverable
NetworkPublic IP, NIC and subnet NSGs, effective routes, host firewall, outbound access, private servicesPath test, effective rules, firewall policy, flow logsInternet or lateral exposure increases exploitation impact
IdentityManaged identity, Azure RBAC, VM login roles, local privilege, service accountsRole assignments, token use, local group exportA compromised VM can use its identity to reach cloud resources
MonitoringActivity Log, guest telemetry, security events, diagnostic settings, time sync, alert ownershipData collection rule, workspace ingestion, detection testAttack evidence may be absent or too late
RecoveryBackup coverage, application consistency, restore procedure, recovery network, test resultVault policy, job and restore recordsRansomware or destructive change becomes prolonged outage

PaaS applications

Review code, configuration, identity, network access, and deployment controls

App Service

Review supported runtime stacks, TLS and HTTPS-only settings, authentication, access restrictions, private endpoints, VNet integration, deployment credentials, FTP state, managed identities, Key Vault references, configuration slots, remote debugging, client certificates, diagnostic logs, backups where used, and Defender coverage. Confirm that sensitive settings are not copied into an insecure slot or exposed through deployment tooling.

Azure Functions

Review hosting plan, runtime support, function authorization level, managed identity, storage-account access, network integration, private endpoints, CORS, secrets, deployment, extension bundles, application dependencies, logging, and scale behavior. Function keys are not a substitute for robust identity and authorization when the workload handles sensitive actions.

APIs and application code

Use secure development practices, dependency and secret scanning, code review, API authentication, authorization tests, input validation, rate limits, TLS, logging, and DAST where appropriate. Cloud platform hardening cannot correct insecure application logic or excessive data access.

Test the application through the same edge, identity, network, and API path used by real clients. A PaaS service may have a secure configuration while an old deployment endpoint, alternate hostname, direct origin, staging slot, or leaked credential remains reachable.

AKS and container questions

  • Is the Kubernetes version supported and upgrade ownership clear?
  • Is the API server private or restricted to approved networks?
  • Are Entra integration and Kubernetes RBAC configured for least privilege?
  • Do workloads use managed workload identity instead of embedded secrets?
  • Are node pools separated by trust, workload, and operating requirement?
  • Are network policies and egress controls enforced?
  • Are privileged containers, host paths, host networking, and dangerous capabilities restricted?
  • Are images scanned before deployment and monitored in runtime?
  • Can only approved registries and signed or trusted artifacts be deployed?
  • Are audit, control-plane, container, and runtime signals retained?

Containers and Kubernetes

Assess the control plane, nodes, workloads, images, and supply chain

Start with cluster inventory, ownership, version, region, criticality, data, network model, node pools, and identity integration. Review API server exposure, authorized IP ranges or private access, local account state, Entra authentication, Azure RBAC for Kubernetes or native Kubernetes RBAC, cluster-admin paths, admission controls, policy, secrets, workload identities, and diagnostic settings.

For nodes, review supported operating-system images, automatic upgrades, patching, endpoint and runtime protection, SSH access, disk encryption, scaling, and workload isolation. For pods, review security contexts, root use, privilege escalation, Linux capabilities, host mounts, host networking, resource limits, service accounts, secrets, image tags, health probes, and network policy.

Azure Container Registry needs private or restricted network access, Entra authorization, scoped permissions, managed identities, disabled anonymous access, webhook and token review, image vulnerability assessment, retention, quarantine or approval workflow where used, and logging. Avoid mutable production tags such as `latest`; deploy immutable digests when the pipeline supports it.

Vulnerability prioritization

Combine severity with reachability, exploitation, privilege, and business impact

Technical severityCVSS · weakness · affected component
×
Threat evidenceKnown exploitation · EPSS · malware · attack path
×
ExposureInternet · lateral path · authentication · privileges
×
Business effectCritical service · sensitive data · safety · recovery
÷
Control strengthWAF · segmentation · EDR · monitoring · mitigation

Use the result to determine containment, patching, configuration change, compensating control, acceptance, and retest priority. Document why a lower-CVSS issue is urgent or why a high-CVSS finding has limited current reachability. Do not suppress a vulnerability merely because a patch is unavailable; evaluate isolation, feature disablement, access restriction, virtual patching, or workload retirement.

Scanning coverage

Know what each data source can and cannot see

Defender agentless scanning

Can identify software and vulnerability information without deploying an in-guest agent for supported machines and plans. Review coverage, scan timing, encrypted-disk support, permissions, exclusions, freshness, and the relationship to other tools.

Agent-based and endpoint data

EDR and vulnerability-management sensors can add runtime, process, software, exposure, and threat context. Confirm sensor health, onboarding coverage, exclusions, connectivity, and alert ownership.

Authenticated infrastructure scans

Authorized credentialed scanners can assess OS and application configuration in depth. Protect scanner credentials, limit privileges, define safe targets and rates, and record failed authentication that reduces scan quality.

Container and registry assessment

Image scans evaluate packages and dependencies at a point in time; runtime security evaluates deployed behavior and current exposure. Include base images, private dependencies, rebuild cadence, and running-image inventory.

Application security testing

SAST, SCA, secret scanning, IaC scanning, DAST, API testing, and manual review find different classes of weakness. None alone proves application security.

Configuration posture

Defender recommendations and Azure Policy identify misconfiguration, but direct evidence and scenario testing remain necessary for critical controls and complex architecture.

Remediation and closure

Fix the root cause and prove the vulnerable path is gone

1

Confirm the asset and finding

Verify the resource, software, version, exposure, owner, scan timestamp, authentication quality, and whether the finding is duplicated across tools. Do not assign a patch ticket to an image that has already been retired.

2

Contain urgent exposure

Restrict public access, disable the vulnerable feature, isolate the workload, reduce privilege, block exploit traffic, rotate exposed credentials, or scale down the affected component as authorized. Preserve incident evidence when compromise is possible.

3

Choose the durable correction

Patch, upgrade, rebuild from a trusted image, replace a dependency, correct configuration, change architecture, remove the component, or implement a time-bound compensating control. Fix the golden image and deployment pipeline so the weakness does not return.

4

Test change and recovery

Use development and staging where available. Validate application function, performance, integration, monitoring, backup, and rollback. Coordinate restarts and node draining with service owners.

5

Rescan and verify runtime

Repeat the original scan or query, confirm the new version or configuration, verify the running image or host, and check that the network and identity exposure changed as intended.

6

Close with evidence and recurrence control

Link the before and after result, change record, deployment artifact, test, owner approval, residual risk, and policy or pipeline control that prevents reintroduction.

Use the Azure security remediation roadmap when findings span teams, dependencies, or change windows.

Implementation support

Coordinate security findings with cloud and IT operations

OC Security Audit can evaluate risk, evidence, attack paths, scanner coverage, and remediation closure. IT Perfection can support relevant Azure administration, endpoint, server, patching, network, backup, and managed IT implementation through managed IT services when operational follow-through is needed.

Retest trigger

Retest after patching, image rebuild, network change, identity change, Defender plan change, workload migration, cluster upgrade, application release, or accepted-risk expiration.

Official guidance

Primary sources for continued review

Microsoft updates Azure capabilities, portal locations, licensing, defaults, feature status, and prerequisites. Confirm the current product documentation before a production change.

Practical questions

Frequently asked questions

What is the difference between agentless and agent-based scanning?

Agentless scanning inspects supported machines without a persistent guest agent, while agent-based and endpoint tools can add runtime, process, sensor, software, and threat context. Coverage and limitations differ.

Should every critical CVE be patched immediately?

Evaluate active exploitation, reachability, privilege, asset criticality, existing controls, change risk, and available mitigation. Urgent exposure may require containment before a tested patch or rebuild.

How are container images secured?

Use trusted base images, dependency and secret scanning, vulnerability assessment, immutable digests, narrow registry access, private connectivity where appropriate, approved pipelines, admission controls, and runtime monitoring.

Who patches Azure PaaS workloads?

Microsoft patches the managed platform, while the customer remains responsible for supported runtime selection, application code, dependencies, identity, configuration, network access, deployment, secrets, and logging.

What closes a workload vulnerability finding?

Confirm the running asset or image changed, repeat the original scan or query, verify reachability and identity exposure, test application function, and preserve the deployment and validation evidence.

About the author

Azure security guidance by Ali Hassani, CISO

Reviewed for practical Azure security, evidence, and remediation guidance by Ali Hassani, CISO, with 25+ years of IT and cybersecurity experience.

Meet Ali Hassani

This material is for initial guidance only and does not replace a professional cybersecurity audit, compliance assessment, penetration test, or legal/compliance review. Validate configuration, licensing, service availability, architecture, and business impact before production changes.