Manage GCP Vertex AI FeatureGroup IAM Access

The gcp:vertex/aiFeatureGroupIamMember:AiFeatureGroupIamMember resource, part of the Pulumi GCP provider, manages IAM permissions for Vertex AI feature groups by adding individual member bindings without affecting other permissions. This guide focuses on three approaches: non-authoritative member grants, authoritative role bindings, and full policy replacement.

IAM resources for feature groups come in three variants with different authoritativeness guarantees. AiFeatureGroupIamMember adds single members non-authoritatively, AiFeatureGroupIamBinding manages all members for a role authoritatively, and AiFeatureGroupIamPolicy replaces the entire policy. The examples are intentionally small. Combine them with your own feature groups and access requirements.

Grant a role to a single member

When you need to give one user or service account access without affecting other permissions, the member resource adds that single binding while preserving existing access.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const member = new gcp.vertex.AiFeatureGroupIamMember("member", {
    region: featureGroup.region,
    featureGroup: featureGroup.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiFeatureGroupIamMember("member",
    region=feature_group["region"],
    feature_group=feature_group["name"],
    role="roles/viewer",
    member="user:jane@example.com")

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureGroupIamMember(ctx, "member", &vertex.AiFeatureGroupIamMemberArgs{
			Region:       pulumi.Any(featureGroup.Region),
			FeatureGroup: pulumi.Any(featureGroup.Name),
			Role:         pulumi.String("roles/viewer"),
			Member:       pulumi.String("user:jane@example.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var member = new Gcp.Vertex.AiFeatureGroupIamMember("member", new()
    {
        Region = featureGroup.Region,
        FeatureGroup = featureGroup.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureGroupIamMember;
import com.pulumi.gcp.vertex.AiFeatureGroupIamMemberArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var member = new AiFeatureGroupIamMember("member", AiFeatureGroupIamMemberArgs.builder()
            .region(featureGroup.region())
            .featureGroup(featureGroup.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

resources:
  member:
    type: gcp:vertex:AiFeatureGroupIamMember
    properties:
      region: ${featureGroup.region}
      featureGroup: ${featureGroup.name}
      role: roles/viewer
      member: user:jane@example.com

The member property specifies who gets access using formats like “user:jane@example.com” or “serviceAccount:app@project.iam.gserviceaccount.com”. The role property defines what they can do. This resource is non-authoritative: it adds the binding without removing other members who have the same role or other roles on the feature group.

Grant a role to multiple members at once

When multiple users or service accounts need the same level of access, the binding resource grants a role to a list in a single operation.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const binding = new gcp.vertex.AiFeatureGroupIamBinding("binding", {
    region: featureGroup.region,
    featureGroup: featureGroup.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiFeatureGroupIamBinding("binding",
    region=feature_group["region"],
    feature_group=feature_group["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureGroupIamBinding(ctx, "binding", &vertex.AiFeatureGroupIamBindingArgs{
			Region:       pulumi.Any(featureGroup.Region),
			FeatureGroup: pulumi.Any(featureGroup.Name),
			Role:         pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var binding = new Gcp.Vertex.AiFeatureGroupIamBinding("binding", new()
    {
        Region = featureGroup.Region,
        FeatureGroup = featureGroup.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureGroupIamBinding;
import com.pulumi.gcp.vertex.AiFeatureGroupIamBindingArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var binding = new AiFeatureGroupIamBinding("binding", AiFeatureGroupIamBindingArgs.builder()
            .region(featureGroup.region())
            .featureGroup(featureGroup.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

resources:
  binding:
    type: gcp:vertex:AiFeatureGroupIamBinding
    properties:
      region: ${featureGroup.region}
      featureGroup: ${featureGroup.name}
      role: roles/viewer
      members:
        - user:jane@example.com

The members property takes an array of identifiers. This resource is authoritative for the specified role: it ensures exactly these members have the role, removing any others who previously had it. Other roles on the feature group remain unchanged.

Replace the entire IAM policy

When you need complete control over all permissions, the policy resource replaces the entire IAM policy with your specified bindings.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiFeatureGroupIamPolicy("policy", {
    region: featureGroup.region,
    featureGroup: featureGroup.name,
    policyData: admin.then(admin => admin.policyData),
});

import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiFeatureGroupIamPolicy("policy",
    region=feature_group["region"],
    feature_group=feature_group["name"],
    policy_data=admin.policy_data)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureGroupIamPolicy(ctx, "policy", &vertex.AiFeatureGroupIamPolicyArgs{
			Region:       pulumi.Any(featureGroup.Region),
			FeatureGroup: pulumi.Any(featureGroup.Name),
			PolicyData:   pulumi.String(admin.PolicyData),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiFeatureGroupIamPolicy("policy", new()
    {
        Region = featureGroup.Region,
        FeatureGroup = featureGroup.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiFeatureGroupIamPolicy;
import com.pulumi.gcp.vertex.AiFeatureGroupIamPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiFeatureGroupIamPolicy("policy", AiFeatureGroupIamPolicyArgs.builder()
            .region(featureGroup.region())
            .featureGroup(featureGroup.name())
            .policyData(admin.policyData())
            .build());

    }
}

resources:
  policy:
    type: gcp:vertex:AiFeatureGroupIamPolicy
    properties:
      region: ${featureGroup.region}
      featureGroup: ${featureGroup.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

The policyData property comes from getIAMPolicy, which constructs a policy document from bindings. This resource is fully authoritative: it removes any permissions not explicitly listed in your policy data. The policy resource cannot be used alongside binding or member resources, as they will conflict over the desired state.

Beyond these examples

These snippets focus on specific IAM management features: single-member grants (non-authoritative), multi-member role bindings (authoritative per role), and full policy replacement (authoritative). They’re intentionally minimal rather than complete access control configurations.

The examples reference pre-existing infrastructure such as Vertex AI feature groups with name and region. They focus on IAM binding configuration rather than provisioning the feature groups themselves.

To keep things focused, common IAM patterns are omitted, including:

Conditional IAM bindings (condition property)
Custom role definitions and formats
Project-level configuration (uses provider default)
Combining Policy with Binding/Member resources (causes conflicts)

These omissions are intentional: the goal is to illustrate how each IAM resource type is wired, not provide drop-in access control modules. See the Vertex AI FeatureGroup IAM Member resource reference for all available configuration options.

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Frequently Asked Questions

Resource Selection & Conflicts

What's the difference between the three IAM resource types?

AiFeatureGroupIamPolicy is authoritative and replaces the entire IAM policy. AiFeatureGroupIamBinding is authoritative for a specific role, replacing all members for that role while preserving other roles. AiFeatureGroupIamMember is non-authoritative and adds a single member to a role without affecting other members.

Which IAM resources can I use together?

You cannot use AiFeatureGroupIamPolicy with AiFeatureGroupIamBinding or AiFeatureGroupIamMember, as they will conflict. You can use AiFeatureGroupIamBinding and AiFeatureGroupIamMember together only if they grant different roles.

Configuration & Identity Formats

What identity formats can I use for the member field?

The member field supports multiple formats: allUsers, allAuthenticatedUsers, user:{email}, serviceAccount:{email}, group:{email}, domain:{domain}, projectOwner:{projectid}, projectEditor:{projectid}, projectViewer:{projectid}, and federated identities like principal://iam.googleapis.com/....

How do I grant access to all authenticated users?

Use allAuthenticatedUsers as the member value to grant access to anyone authenticated with a Google account or service account.

How do I grant access to a single user?

Use AiFeatureGroupIamMember with member set to user:{email}, for example user:jane@example.com.

How do I grant the same role to multiple users?

Use AiFeatureGroupIamBinding with a members list containing all users, for example ["user:jane@example.com", "user:john@example.com"].

Custom Roles & Advanced Usage

How do I use custom roles?

Custom roles must use the full format [projects|organizations]/{parent-name}/roles/{role-name}. For example, projects/my-project/roles/my-custom-role or organizations/my-org/roles/my-custom-role. This format is required for both resource creation and import.

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