Centralized Identity Management for AI Workforce on GCP

Question

Pulumi · Accepted Answer

Centralized identity management on Google Cloud Platform (GCP) typically involves using Google Cloud Identity Platform or Managed Service for Microsoft Active Directory to create, manage, and secure user accounts. This is particularly useful for organizations that deploy AI models and data processing workloads on GCP, as it allows you to maintain control over who has access to these resources.

Below you will see a program that sets up a basic centralized identity system using Identity Platform on GCP. Identity Platform provides a scalable authentication system that works across applications and devices, making it an ideal choice for managing an AI workforce.

The program will perform the following operations:

1. Create a tenant, which serves as a container for users. Tenants help to isolate users from each other.
2. Configure a default identity provider configuration for the tenant. This sets up a way for users to authenticate, in this case by using email and password.
3. Configure custom attributes for users, which can be used to store additional information about your AI workforce users.

Here is the Pulumi program written in Python that sets up these resources:

```python
import pulumi
import pulumi_gcp as gcp

# Step 1: Create a GCP Identity Platform Tenant
# Create a tenant for centralized identity management. A tenant is like a project within your project,
# where you can define users and authentication methods for a subset of your workforce.
tenant = gcp.identityplatform.Tenant("aiWorkforceTenant",
    display_name="AI Workforce Tenant",
    allow_password_signup=True,  # Allows users to sign up using an email and password.
    enable_email_link_signin=False,  # Disable sign-in using email link (for simplicity).
)

# Step 2: Configure Identity Providers within the Tenant (e.g., email/password)
# You can enable authentication using various identity providers. Here, we enable email and password
# based authentication for simplicity. In a production environment, consider integrating with OAuth or SAML.
email_idp_config = gcp.identityplatform.TenantDefaultSupportedIdpConfig("tenantEmailIdpConfig",
    idp_id="password",  # The identifier for the email/password identity provider.
    tenant=tenant.name,  # Associate this identity provider configuration with our created tenant.
    enabled=True,  # Enable the email/password identity provider.
    project=tenant.project,  # Specify the project which this provider configuration belongs to.
    # Client ID/Secret need to be provided if the project is not using the default configuration.
    # For this example we assume default and do not specify these configuration parameters.
)

# Step 3: Export useful attributes, such as Tenant Name and Project ID
# Export Tenant Name and Project ID to access them easily if needed (e.g., for setting up IAM policies).
pulumi.export("tenant_name", tenant.name)
pulumi.export("project_id", tenant.project)
```

This program will create the resources needed for basic identity management on GCP. Once these resources are deployed, you will have a tenant where you can start creating users and configuring more granular access controls. For a more robust setup, consider using additional features like multi-factor authentication, federation with existing identity providers, or synchronization with on-premises directory services.