Design a Cloud Identity and Access Management (IAM) System
Build a secure, role-based IAM system using cloud-native services to manage authentication, authorization, and auditing of users and services.In cloud computing, controlling who can access what is fundamental to security and compliance. IAM systems provide the ability to enforce least-privilege access, manage credentials, track usage, and enable secure interactions between services and users.
Develop a centralized IAM system that includes user management, permission policies, MFA enforcement, service roles, and access logs. Implement user grouping, temporary access, and secrets management for enhanced control.
Role-Based Access Control (RBAC)
Assign permissions based on predefined roles (e.g., admin, developer, auditor) using IAM policies.
Multi-Factor Authentication (MFA)
Enforce MFA for critical users and detect login anomalies using behavior-based alerts.
IAM User Groups & Policies
Group users by department or project and attach scoped policies using JSON-based rules.
Temporary Credentials and Token Expiry
Enable STS or OAuth tokens with expiration and re-authentication to minimize long-term exposure.
IAM services are typically managed via cloud consoles or APIs. In this project, you’ll provision IAM users, roles, and policies, then integrate with apps or infrastructure components (e.g., EC2, S3, GCP Cloud Storage) for scoped access. You can simulate a login system or integrate with OAuth2 providers.
- Platform: AWS IAM, Azure AD, or GCP IAM
- Authentication: Cognito, Firebase Auth, or OAuth2 (Keycloak/Auth0)
- Permissions: JSON policies applied to users, roles, or groups
- Audit Logs: AWS CloudTrail, Azure Monitor, GCP Cloud Audit Logs
- Secrets: AWS Secrets Manager or Google Secret Manager for token handling
IAM Services
AWS IAM, Azure Active Directory, GCP IAM, or custom Keycloak/Auth0 setup
Authentication
OAuth2, Firebase Authentication, AWS Cognito with JWTs
Authorization
Custom RBAC middleware using Express.js or Python Flask
Audit & Logging
CloudTrail, Azure Monitor, or Stackdriver for log-based policy enforcement
1. Create IAM Users and Groups
Use the cloud console or CLI to provision IAM users, assign them to groups, and attach scoped policies.
2. Implement Login and Session Tokens
Simulate login via Cognito/Firebase or build a custom JWT-based token system for app access control.
3. Apply Resource-Level Policies
Restrict access to specific S3 buckets, databases, or cloud resources based on user roles or groups.
4. Enforce MFA and Temporary Tokens
Enable MFA for selected IAM users and create short-lived credentials using STS or OAuth2 flows.
5. Log and Audit Everything
Enable access logging and create alerting for unauthorized access attempts or policy violations.
Control Access with Confidence
Build a scalable and secure IAM system to enforce zero-trust policies, enable least privilege access, and monitor user behavior across cloud environments.
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