To secure a cloud service, treat security as a shared responsibility: the provider protects parts of the underlying cloud, while you remain responsible for important decisions about identity, data, configuration, and applications. The exact boundary depends on the provider and service model. Use this checklist to identify and strengthen the controls your organization owns.
How do I secure my cloud service?
Work through these seven practices for each cloud service and workload. They are a practical checklist, not a universal or definitive ranking: AWS publishes seven security design principles, while Microsoft groups operational guidance differently. Adapt the controls to your provider, service, jurisdiction, and risk.
1. Map shared responsibility
Write down which security controls the provider operates and which your organization must configure or maintain. AWS distinguishes security “of” the cloud from security “in” the cloud, and says customer duties vary with the services selected. For applicable services, customers may be responsible for guest operating system and application patching and configuration. Review the responsibility guidance for each service rather than assuming the provider manages everything: AWS Shared Responsibility Model.
- Identify who handles infrastructure, physical facilities, and managed-service components.
- Record your duties for accounts, permissions, data, network settings, applications, and customer-managed systems.
- Revisit the map when you change service tiers, deployment models, or workloads.
The division can change between a managed service and a customer-managed virtual machine. More operational control can also mean more patching and configuration work for your team.
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2. Strengthen identity and access
Identity controls determine who can reach cloud resources and what they can do. Centralize identity where it fits your environment, require multifactor authentication (MFA) for relevant accounts, and grant only the permissions people and services need. Separate duties where one account should not be able to both make and approve a sensitive change.
- Use role-based access and narrow permissions to the required resource and task.
- Review privileged and inactive accounts, and remove access that is no longer needed.
- Prefer short-lived or federated credentials over long-lived static credentials where practical; protect secrets that must be stored.
- Consider a FIDO2 security key for phishing-resistant MFA only if your identity provider supports it. A key is an authenticator, not a substitute for permissions or other cloud controls.
Microsoft includes MFA, least privilege, and secrets protection among its cloud security practices: Microsoft cloud security benchmark overview.
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3. Reduce the attack surface and layer controls
Expose only the services and functions that a workload needs. Close unused ports, restrict administrative access, and avoid leaving management interfaces available to the public internet. A single firewall or perimeter is not enough: apply appropriate protections at network, compute, operating-system, application, and code layers.
- Limit inbound and outbound network paths to expected sources and destinations.
- Disable unused services and features, and use secure defaults in applications.
- Check configuration changes for unintended public access or expanded permissions.
AWS describes layered security and reducing unnecessary exposure as cloud security design principles; Microsoft likewise recommends reducing the attack surface. The precise controls depend on the workload and platform.
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4. Patch systems and automate repeatable controls
Keep customer-managed operating systems, dependencies, and applications supported and updated. Establish who tracks updates and applies them for each component, because the provider’s patching responsibility varies by service. A managed offering may handle more of the underlying stack than a customer-managed system, but it does not remove the need to maintain customer-controlled software.
Where the platform allows, define repeatable settings as version-controlled configuration and automate deployment and checks. This makes changes easier to review and helps reduce drift between environments. Microsoft recommends a security-update strategy, and AWS includes automation among its security design principles.
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5. Protect data and manage keys deliberately
Classify information by sensitivity, then make access and handling rules match that classification. Enforce permissions at the relevant service and application layers. Use suitable encryption in transit and at rest, and decide who can create, access, rotate, and recover encryption keys.
- Use encrypted connections for data moving between users, applications, and services.
- Choose storage encryption appropriate to the service and the sensitivity of the data.
- Restrict key access and establish a recovery process before relying on customer-managed keys.
- Minimize unnecessary copies and direct human handling of sensitive information.
Encryption can reduce exposure, but it does not prevent misuse by an authorized identity, an insecure application, or someone who can access the decryption keys. AWS and Microsoft both include data protection and encryption in their guidance; exact options depend on the service.
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6. Monitor activity and retain useful logs
Enable the application, system, and security logs needed to identify suspicious behavior and investigate incidents. Monitor relevant activity, configure alerts for meaningful events, and retain records for the period your organization needs. Logging is useful only if someone can review and act on it, so define ownership and response paths for alerts.
Microsoft lists security monitoring as an operational practice, while AWS emphasizes traceability. Decide what to collect based on the workload, investigation needs, applicable obligations, and the logging capabilities of the actual service.
7. Prepare for incidents and recovery
Maintain an incident process that names decision-makers, communication channels, containment actions, and recovery responsibilities. Practice it so people know how to respond under pressure. Keep backups protected from unauthorized deletion or tampering, and test restoration; a successful backup job does not by itself prove that recovery will work.
For Azure Backup specifically, Microsoft documents controls including access management, encryption, private endpoints, immutable backup storage, and recovery controls. These are Azure examples, not capabilities or defaults that should be assumed for every provider or service: Azure Backup security best practices to safeguard backup data.
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Assign an owner and review cadence to each practice. Start with the actual service boundary, then prioritize identity, exposed access, sensitive data, and recovery based on the risks of the workload. If your team lacks the expertise to assess those controls, a qualified cloud security partner may help with adoption or ongoing operations; AWS discusses partner support in its guidance: AWS cloud security.
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