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To secure cloud IaaS accounts, centralize workforce sign-in, require phishing-resistant multifactor authentication (MFA), and replace long-lived credentials with temporary identities. Then reduce permissions to what each person or workload needs, protect emergency administrator access, and continuously monitor and remove access that is no longer used. Apply those controls across every account, subscription, project, workload, and external identity—not only the primary cloud console.
Build a consistent identity baseline before changing permissions
Start by making a complete inventory of the identities and access paths that can reach your cloud environment. Include cloud organizations and accounts, Azure subscriptions, Google Cloud projects, workforce identities, service accounts, roles, access keys, external principals, and emergency accounts. An incomplete inventory can leave forgotten credentials or third-party access outside the controls you intend to enforce.
Decide which identity provider will authenticate your workforce and how account creation, role assignment, and removal will follow employee or contractor lifecycle changes. Federated access lets staff use centrally managed identities rather than maintaining separate, permanent IAM users in each cloud. Where federation is supported, avoid routine use of standalone IAM users for people.
Use separate identities and access paths for ordinary work and privileged administration. Administrative permissions should not be attached to every account a person uses day to day. Identify the small set of roles that can change access policies, create credentials, alter logging, or expose resources; those roles deserve the strongest authentication and monitoring.
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Require phishing-resistant MFA for high-impact access
Protect administrators first, then extend the requirement to all users. Prefer phishing-resistant methods such as FIDO2 security keys or passkeys. Microsoft also identifies Windows Hello for Business and certificate-based authentication as phishing-resistant methods. AWS IAM best practices recommend passkeys or security keys wherever possible.
A second factor is not equally resistant to phishing in every form. When choosing an MFA method, prioritize methods that bind authentication to the legitimate sign-in rather than relying on a code that an attacker can trick a user into sharing. Maintain a documented recovery path so that stronger sign-in requirements do not lead staff to create unmanaged workarounds.
Microsoft’s identity-management guidance states that Azure began enforcing Phase 2 of mandatory MFA on October 1, 2025. The stated scope includes Azure CLI, PowerShell, the Azure mobile app, infrastructure-as-code tools, and REST API create, update, or delete operations. Because that date has passed, teams using these interfaces should confirm that their users and automation can authenticate under the applicable requirements.
Replace standing credentials with short-lived identities
For people, use federation to issue temporary credentials rather than handing out long-lived IAM access keys. For applications and infrastructure, use cloud roles or workload identity mechanisms that provide temporary access without embedding a permanent secret in the workload. This limits the value of a credential if it is exposed and makes access easier to revoke centrally.
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Review service accounts as carefully as human accounts. In Azure environments, Microsoft guidance calls for migrating user-based service accounts to workload identities where required. In Google Cloud, control which principals may create or manage service accounts; a service account can become a route to broader access if its permissions or keys are poorly governed.
If a long-term key cannot yet be eliminated, document its owner, purpose, scope, storage location, and replacement plan. Keep the secret in a managed secrets store, restrict who can retrieve it, and rotate it on a defined schedule. Never place credentials in plaintext in source code or embed them in application binaries. NSA and CISA state this directly in their March 2024 guidance, Use Secure Cloud Identity and Access Management Practices.
Make least privilege measurable and testable
Grant each human or workload only the permissions required for its task. Avoid broad basic roles in production where possible, and replace them with narrowly scoped predefined or custom roles. Limit access to the necessary resources, and use conditions, tags, or permissions boundaries where they help constrain when and where permissions can be exercised.
Do not treat role creation as a one-time design exercise. Test proposed policies before deployment and review real usage afterward. AWS IAM Access Analyzer can help identify access concerns and validate policies; AWS also recommends conditions and permissions boundaries. Google Cloud provides Policy Simulator and role recommendations to help assess the effect of policy changes and identify opportunities to reduce permissions.
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Use this review loop whenever you introduce an application, team, or new cloud service:
- Define the task. Record the specific actions and resources the identity must access, rather than starting with a broad role and hoping to trim it later.
- Choose the narrowest suitable role. Prefer a limited predefined role when it fits; otherwise build a custom role and constrain its resource scope.
- Simulate or analyze the change. Use the provider’s policy-analysis or simulation tools to check the intended access and likely impact before applying it.
- Observe actual use. Compare granted permissions with access activity and last-access information, then remove actions that are not needed.
- Reassess after change. Repeat the review when the workload, owner, resource boundary, or business purpose changes.
Protect administrator and emergency access paths
Keep root, tenant-wide, and other break-glass accounts tightly controlled. Limit who can use them, require MFA, alert whenever they are used, and review every use after the incident or recovery event. Document how an authorized operator obtains emergency access and how it is returned to a secured state; do not let an emergency exception quietly become routine administration.
For administrators, consider hardened privileged-access workstations that are dedicated to sensitive tasks, require MFA, and produce thorough logs. NSA and CISA recommend considering this approach as part of secure cloud IAM practice. It can reduce exposure from everyday browsing or general-purpose software on machines used to administer cloud environments.
Separate the ability to change a policy from the ability to suppress the evidence of that change wherever your design allows. Alert on policy edits, privilege escalation, credential creation, root activity, and changes to audit settings so that a compromised administrator cannot quietly expand access or disable visibility.
Turn on audit logging and make review operational
Centralize logs for sign-ins, privileged actions, access-policy changes, credential use, root activity, and public or cross-account exposure. Route findings into a security-monitoring workflow with an owner and response process. Logging is useful only if someone can investigate suspicious activity, decide whether it is authorized, and revoke access when necessary.
Run recurring access reviews using last-access data and credential reports. Remove unused users, roles, policies, permissions, and keys rather than leaving dormant access in place. Review external principals and shared resources as well as internal users; an account can be exposed through a forgotten invitation or cross-account grant even when its own user list looks clean.
When a credential is suspected to be compromised, revoke or disable it, investigate its recent use, and check for policy or role changes made through that identity. Then assess whether the identity had access to secrets, other accounts, or resources beyond its immediate workload. A practiced response plan is more reliable than trying to reconstruct the access path during an incident.
Apply the controls to each cloud provider
The security goals are shared across providers, but the native controls and terminology differ. AWS IAM best practices and AWS Prescriptive Guidance emphasize federation, temporary credentials, least privilege, access analysis, centralized identity, and removal of unused access. Microsoft’s guidance focuses on MFA requirements and phishing-resistant methods. Google Cloud guidance emphasizes avoiding basic roles in production and governing service-account access.
| Provider | Guidance to prioritize | Useful native control or workflow |
|---|---|---|
| AWS | Federate workforce access; use temporary credentials and IAM roles; enforce MFA; constrain policies with conditions and permissions boundaries; remove unused access. | IAM Access Analyzer; credential reports; AWS Config checks for access-key rotation and unused credentials; centralized identity, permission sets, and service-control policies. |
| Microsoft Azure | Require MFA for users and prioritize phishing-resistant authentication. Account for the Phase 2 enforcement date of October 1, 2025, including the stated developer and API interfaces. | Use the organization’s identity-management workflow to verify MFA coverage for interactive and service-user operations covered by Microsoft’s guidance. |
| Google Cloud | Avoid basic roles in production where possible; use limited predefined or custom roles; govern service-account creation and management; protect service-account keys. | Role recommendations and Policy Simulator for evaluating access changes, alongside logging of service-account access. |
For AWS, Prescriptive Guidance also points to organization-level guardrails such as service-control policies and permission sets. These can help establish boundaries across accounts, but they do not replace careful role design within an individual workload. For Google Cloud, role recommendations are inputs to review, not a substitute for confirming what a workload actually needs. In every provider, validate exact feature availability and configuration against the current documentation for your environment.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose external IAM tooling by control coverage
Provider-native controls may be sufficient for a team with a small number of environments and a single identity lifecycle. As environments grow, compare native tools and external platforms against the same operational needs rather than assuming a single tool covers all of them.
- Identity lifecycle: Can workforce federation and joiner-mover-leaver changes be applied consistently?
- Strong authentication: Does the solution support the phishing-resistant methods your administrators and users will actually use?
- Workload identity: Can it help remove embedded, long-lived credentials across the platforms in scope?
- Policy quality: Does it analyze permissions, simulate proposed changes, and expose excessive or unused access?
- Guardrails: Can it apply controls across accounts, subscriptions, projects, and external principals?
- Secrets and evidence: Does it integrate with managed secret storage, audit logs, and alerting?
- Emergency access: Can break-glass use be controlled, recorded, and reviewed?
- Operational fit: What additional complexity, geographic constraints, or regulatory requirements does it introduce?
Choose the approach that provides reliable coverage without creating a second, poorly governed identity layer. Regardless of tooling, assign clear ownership for policy exceptions and set an expiry or review date for each one.
Make the rollout safer with staged implementation
For a large estate, stage the work by risk and scope. Begin with an inventory and privileged identities, then establish federation and strong MFA, and migrate the highest-risk long-lived workload credentials. Reduce broad permissions in testable increments so that service owners can identify legitimate dependencies before access is removed.
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