Identity is the new cloud perimeter. Across AWS, Microsoft Azure, and Google Cloud Platform, IAM is no longer just about creating users and assigning permissions. It is the control plane for who and what can access cloud resources, applications, workloads, data, and administrative functions.
For SMEs, the challenge is not simply choosing a cloud provider. The challenge is understanding how each provider approaches identity, access control, workload identity, customer identity, privileged access, federation, and governance.
AWS, Azure, and GCP all provide strong IAM capabilities, but they organize those capabilities differently.
- Amazon Web Services (AWS) separates IAM, IAM Identity Center, Cognito, Verified Permissions, Organizations, and Access Analyzer.
- Google Cloud Platform (GCP) uses Google Cloud IAM, Cloud Identity, Workforce Identity Federation, Workload Identity Federation, Identity-Aware Proxy, Identity Platform, Organization Policy, and VPC Service Controls.
- Microsoft Azure centers identity around Microsoft Entra ID, Azure RBAC, Managed Identities, PIM, Conditional Access, External ID, app registrations, service principals, and governance tools.
The key question is not:
Which cloud has the best IAM service?
The better question is:
Who or what needs access, to which resource, under what conditions, and for how long?
IAM service comparison: AWS vs Azure vs GCP
| IAM Need | AWS | Microsoft Azure | Google Cloud Platform |
|---|---|---|---|
| Cloud resource access control | AWS IAM | Azure RBAC | Google Cloud IAM |
| Workforce SSO and cloud account access | IAM Identity Center | Microsoft Entra ID | Cloud Identity / Workforce Identity Federation |
| Customer identity and app sign-in | Amazon Cognito | Microsoft Entra External ID | Identity Platform |
| Workload identity | IAM roles / service roles | Managed Identities / Service Principals | Service Accounts |
| External workload access without long-lived keys | IAM Roles Anywhere / OIDC federation / STS patterns | Federated credentials / workload identity patterns | Workload Identity Federation |
| Kubernetes workload identity | IAM Roles for Service Accounts / EKS Pod Identity | Microsoft Entra Workload ID / Managed Identity patterns | Workload Identity Federation for GKE |
| Privileged access governance | IAM Identity Center / Organizations / IAM Access Analyzer | Microsoft Entra PIM | IAM Recommender / Policy Intelligence |
| Conditional or contextual access | IAM policy conditions | Conditional Access | IAM Conditions |
| Fine-grained application authorization | Amazon Verified Permissions | App roles / custom authorization patterns | IAM Conditions / app-layer authorization |
| Multi-account or multi-subscription guardrails | AWS Organizations / SCPs | Management Groups / Azure Policy | Organization Policy Service |
| Permissions analysis and least privilege | IAM Access Analyzer | Microsoft Entra Permissions Management / Access reviews | Policy Intelligence / IAM Recommender |
| Data perimeter or sensitive workload protection | SCPs, resource policies, VPC endpoint policies | Conditional Access, Azure Policy, Defender integrations | VPC Service Controls |
| Application identity and API permissions | IAM roles, Cognito, Verified Permissions | App registrations / Enterprise applications | Identity Platform / service accounts / IAP |
| Temporary credentials | AWS STS | Managed identities / federated credentials | Workload Identity Federation / service account impersonation |
How the providers think about IAM
AWS IAM approach
AWS IAM is deeply tied to resource-level permissions, roles, policies, temporary credentials, and multi-account design.
For AWS environments, the main IAM question is often:
How do we grant the right permissions to users, workloads, applications, and accounts without creating long-term privilege sprawl?
AWS IAM controls access to AWS resources, IAM Identity Center supports workforce access and SSO into AWS accounts and applications, Amazon Cognito supports customer identity for web and mobile apps, and Amazon Verified Permissions supports fine-grained application authorization. AWS IAM Access Analyzer helps review external access and unused access, while AWS Organizations and service control policies help establish guardrails across accounts.
AWS is especially strong when:
You are designing multi-account environments, workload roles, temporary credentials, resource policies, and account-level guardrails.
Microsoft Azure IAM approach
Azure IAM is strongly centred around Microsoft Entra ID as the identity foundation and Azure RBAC as the authorization model for Azure resources.
For Azure environments, the main IAM question is often:
How do we combine workforce identity, resource permissions, workload identity, Conditional Access, and privileged access governance into one secure operating model?
Microsoft Entra ID handles identity and authentication, Azure RBAC controls access to Azure resources, Managed Identities help Azure-hosted workloads authenticate without manually managed credentials, Conditional Access applies context-aware access policies, and Microsoft Entra PIM supports just-in-time privileged access. Microsoft also provides External ID for customer, partner, and guest identity scenarios.
Azure is especially strong when:
You are already using Microsoft 365, Entra ID, Conditional Access, PIM, and Microsoft’s broader security ecosystem.
Google Cloud IAM approach
Google Cloud IAM is built around principals, roles, policies, service accounts, federation, and organization-level controls.
For GCP environments, the main IAM question is often:
How do we control access for workforce users, workloads, service accounts, external identities, and sensitive resources without relying on broad roles or long-lived keys?
Google Cloud IAM controls access to Google Cloud resources, Cloud Identity provides a workforce identity foundation, Workforce Identity Federation supports external user identities, Workload Identity Federation supports external workloads without service account keys, Identity-Aware Proxy enables identity-based application access, and Identity Platform supports customer identity. Google Cloud also provides Organization Policy Service, IAM Conditions, Policy Intelligence, and VPC Service Controls for governance and protection of sensitive workloads.
GCP is especially strong when:
You want keyless workload access, service account governance, identity-aware access, and organization-level security controls.
Practical decision guide for SMEs
Choose based on the identity and access pattern, not the provider label.
| Scenario | Best starting point |
|---|---|
| Employees need access to cloud accounts | AWS IAM Identity Center / Microsoft Entra ID / Cloud Identity or Workforce Identity Federation |
| Developers need least privilege access to resources | AWS IAM / Azure RBAC / Google Cloud IAM |
| Applications need cloud resource access | IAM roles / Managed Identities / Service Accounts |
| CI/CD pipelines need cloud access | AWS STS or OIDC federation / Azure federated credentials / GCP Workload Identity Federation |
| Customers need to sign into an app | Amazon Cognito / Microsoft Entra External ID / Identity Platform |
| Admin access needs stronger control | AWS Organizations + IAM Identity Center / Microsoft Entra PIM / GCP IAM governance tools |
| Access needs to be temporary | AWS STS / PIM or managed identity patterns / Workload Identity Federation |
| Access needs conditions | IAM policy conditions / Conditional Access / IAM Conditions |
| Permissions need review | IAM Access Analyzer / Entra access reviews or Permissions Management / IAM Recommender and Policy Intelligence |
| Organization-wide guardrails are needed | AWS Organizations and SCPs / Management Groups and Azure Policy / Organization Policy Service |
| Sensitive data needs perimeter protection | Resource policies and endpoint policies / Azure governance and Conditional Access / VPC Service Controls |
Common IAM mistakes across AWS, Azure, and GCP
1. Treating IAM as a setup task
IAM is not something to configure once and forget. Access needs change as teams, applications, workloads, customers, contractors, and cloud environments grow.
2. Giving broad access too early
Owner, Administrator, Editor, Contributor, and broad custom roles may solve short-term access problems, but they often create long-term security risks.
3. Confusing workforce identity with workload identity
Human users, applications, automation, CI/CD pipelines, and service accounts should not be treated the same way.
4. Using long-lived credentials when temporary or managed identity options exist
AWS recommends temporary credentials and IAM roles for workloads. Azure recommends managed identities where possible. Google Cloud recommends Workload Identity Federation for external workloads instead of service account keys.
5. Ignoring customer identity
Cloud resource IAM is not the same as customer sign-in. For customer-facing applications, services such as Amazon Cognito, Microsoft Entra External ID, and Google Cloud Identity Platform are more relevant.
6. Not reviewing access over time
Unused permissions, inactive identities, forgotten service accounts, old app registrations, stale guests, and overprivileged roles increase cloud risk.
7. Separating IAM from logging and incident response
Identity activity should be tied to audit logs, sign-in logs, alerts, access reviews, and incident response processes.
IAM choices should follow the identity and access pattern
For SMEs, the best IAM decision is not about choosing the cloud provider with the longest list of services.
It is about matching the IAM service to the identity and access pattern.
- A workforce user needs a different IAM pattern from a workload.
- A customer identity needs a different pattern from a cloud administrator.
- A CI/CD pipeline needs a different pattern from a contractor.
- A privileged role needs a different governance model from a read-only analyst.
- A sensitive workload may need stronger guardrails, conditional access, monitoring, and periodic review.
The wrong IAM design can create privilege sprawl, exposed credentials, weak customer access, audit gaps, and operational risk.
The right IAM design creates a stronger foundation for security, compliance, resilience, and cloud growth.
Practical next step
Before choosing an IAM service on AWS, Azure, or GCP, create an access profile:
- Identity type
- Human, workload, customer, partner, administrator, or service account access
- Resource-level or application-level access
- Required permission scope
- Federation or SSO requirement
- Temporary or long-term access requirement
- Conditional access requirement
- Privileged access requirement
- Customer identity requirement
- Multi-account, multi-project, or multi-subscription requirement
- Logging and audit requirement
- Access review and offboarding process
- Compliance requirement
- Team operating capacity
This makes IAM decisions more practical and reduces guesswork.
Read the individual guides
- AWS: Choosing the Right AWS Identity and Access Management IAM Service for Your Workload
- GCP: Choosing the Right Google Cloud Platform GCP Identity and Access Management IAM Service for Your Workload
- Azure: Choosing the Right Microsoft Azure IAM Service for Your Workload
Need help choosing the right IAM service across AWS, Azure, or GCP?
Reputiva helps organizations assess, secure, modernize, and optimize cloud environments across AWS, Azure, and GCP.
Book a consultation with Reputiva to assess your cloud readiness, IAM strategy, security posture, or modernization roadmap.
Reputiva
Reputiva is a cloud, cybersecurity, and FinOps advisory firm helping SMEs reduce cyber risk, strengthen cloud environments, and manage technology costs with confidence. We publish practical insights on cloud security, identity, AI risk, compliance, and digital transformation.
