

# Identity and access management for AWS Glue DataBrew
Identity and access management

AWS Identity and Access Management (IAM) is an AWS service that helps an administrator securely control access to AWS resources. IAM administrators control who can be *authenticated* (signed in) and *authorized* (have permissions) to use DataBrew resources. IAM is an AWS service that you can use with no additional charge.

**Topics**
+ [

## Authenticating with identities
](#security_iam_authentication)
+ [

## Managing access using policies
](#security_iam_access-manage)
+ [

## AWS Glue DataBrew and AWS Lake Formation
](#lake-formation)
+ [

# How AWS Glue DataBrew works with IAM
](security_iam_service-with-iam.md)
+ [

# Identity-based policy examples for AWS Glue DataBrew
](security_iam_id-based-policy-examples.md)
+ [

# AWS managed policies for AWS Glue DataBrew
](aws-managed-policies.md)
+ [

# Troubleshooting identity and access in AWS Glue DataBrew
](security_iam_troubleshoot.md)

## Authenticating with identities


Authentication is how you sign in to AWS using your identity credentials. You must be authenticated as the AWS account root user, an IAM user, or by assuming an IAM role.

You can sign in as a federated identity using credentials from an identity source like AWS IAM Identity Center (IAM Identity Center), single sign-on authentication, or Google/Facebook credentials. For more information about signing in, see [How to sign in to your AWS account](https://docs.aws.amazon.com/signin/latest/userguide/how-to-sign-in.html) in the *AWS Sign-In User Guide*.

For programmatic access, AWS provides an SDK and CLI to cryptographically sign requests. For more information, see [AWS Signature Version 4 for API requests](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_sigv.html) in the *IAM User Guide*.

### AWS account root user


 When you create an AWS account, you begin with one sign-in identity called the AWS account *root user* that has complete access to all AWS services and resources. We strongly recommend that you don't use the root user for everyday tasks. For tasks that require root user credentials, see [Tasks that require root user credentials](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_root-user.html#root-user-tasks) in the *IAM User Guide*. 

### Users and groups


An *[IAM user](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users.html)* is an identity with specific permissions for a single person or application. We recommend using temporary credentials instead of IAM users with long-term credentials. For more information, see [Require human users to use federation with an identity provider to access AWS using temporary credentials](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#bp-users-federation-idp) in the *IAM User Guide*.

An [https://docs.aws.amazon.com/IAM/latest/UserGuide/id_groups.html](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_groups.html) specifies a collection of IAM users and makes permissions easier to manage for large sets of users. For more information, see [Use cases for IAM users](https://docs.aws.amazon.com/IAM/latest/UserGuide/gs-identities-iam-users.html) in the *IAM User Guide*.

### IAM roles


An *[IAM role](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html)* is an identity with specific permissions that provides temporary credentials. You can assume a role by [switching from a user to an IAM role (console)](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-console.html) or by calling an AWS CLI or AWS API operation. For more information, see [Methods to assume a role](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_manage-assume.html) in the *IAM User Guide*.

IAM roles are useful for federated user access, temporary IAM user permissions, cross-account access, cross-service access, and applications running on Amazon EC2. For more information, see [Cross account resource access in IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies-cross-account-resource-access.html) in the *IAM User Guide*.

## Managing access using policies


You control access in AWS by creating policies and attaching them to AWS identities or resources. A policy defines permissions when associated with an identity or resource. AWS evaluates these policies when a principal makes a request. Most policies are stored in AWS as JSON documents. For more information about JSON policy documents, see [Overview of JSON policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html#access_policies-json) in the *IAM User Guide*.

Using policies, administrators specify who has access to what by defining which **principal** can perform **actions** on what **resources**, and under what **conditions**.

By default, users and roles have no permissions. An IAM administrator creates IAM policies and adds them to roles, which users can then assume. IAM policies define permissions regardless of the method used to perform the operation.

### Identity-based policies


Identity-based policies are JSON permissions policy documents that you attach to an identity (user, group, or role). These policies control what actions identities can perform, on which resources, and under what conditions. To learn how to create an identity-based policy, see [Define custom IAM permissions with customer managed policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_create.html) in the *IAM User Guide*.

Identity-based policies can be *inline policies* (embedded directly into a single identity) or *managed policies* (standalone policies attached to multiple identities). To learn how to choose between managed and inline policies, see [Choose between managed policies and inline policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies-choosing-managed-or-inline.html) in the *IAM User Guide*.

### Resource-based policies


Resource-based policies are JSON policy documents that you attach to a resource. Examples include IAM *role trust policies* and Amazon S3 *bucket policies*. In services that support resource-based policies, service administrators can use them to control access to a specific resource. You must [specify a principal](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_principal.html) in a resource-based policy.

Resource-based policies are inline policies that are located in that service. You can't use AWS managed policies from IAM in a resource-based policy.

DataBrew does not support resource-based policies.

### Access control lists (ACLs)


Access control lists (ACLs) control which principals (account members, users, or roles) have permissions to access a resource. ACLs are similar to resource-based policies, although they do not use the JSON policy document format.

Amazon S3, AWS WAF, and Amazon VPC are examples of services that support ACLs. To learn more about ACLs, see [Access control list (ACL) overview](https://docs.aws.amazon.com/AmazonS3/latest/userguide/acl-overview.html) in the *Amazon Simple Storage Service Developer Guide*.

DataBrew does not support ACLs.

### Other policy types


AWS supports additional policy types that can set the maximum permissions granted by more common policy types:
+ **Permissions boundaries** – Set the maximum permissions that an identity-based policy can grant to an IAM entity. For more information, see [Permissions boundaries for IAM entities](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html) in the *IAM User Guide*.
+ **Service control policies (SCPs)** – Specify the maximum permissions for an organization or organizational unit in AWS Organizations. For more information, see [Service control policies](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html) in the *AWS Organizations User Guide*.
+ **Resource control policies (RCPs)** – Set the maximum available permissions for resources in your accounts. For more information, see [Resource control policies (RCPs)](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_rcps.html) in the *AWS Organizations User Guide*.
+ **Session policies** – Advanced policies passed as a parameter when creating a temporary session for a role or federated user. For more information, see [Session policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html#policies_session) in the *IAM User Guide*.

### Multiple policy types


When multiple types of policies apply to a request, the resulting permissions are more complicated to understand. To learn how AWS determines whether to allow a request when multiple policy types are involved, see [Policy evaluation logic](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_evaluation-logic.html) in the *IAM User Guide*.

## AWS Glue DataBrew and AWS Lake Formation


AWS Glue DataBrew supports AWS Lake Formation permissions for AWS Glue Data Catalog tables. When a dataset uses an AWS Glue Data Catalog table that is registered with Lake Formation, the IAM role provided to projects or jobs must have [ DESCRIBE](https://docs.aws.amazon.com/lake-formation/latest/dg/lf-permissions-reference.html#perm-describe) and [ SELECT](https://docs.aws.amazon.com/lake-formation/latest/dg/lf-permissions-reference.html#perm-select) Lake Formation permissions on the table. 

AWS Glue DataBrew supports writing to AWS Glue Data Catalog tables based on AWS Lake Formation. When a DataBrew job uses a Data Catalog that is registered with Lake Formation, the IAM role provided to the jobs must have [ INSERT](https://docs.aws.amazon.com/lake-formation/latest/dg/lf-permissions-reference.html#perm-insert), [ ALTER](https://docs.aws.amazon.com/lake-formation/latest/dg/lf-permissions-reference.html#perm-alter), and [ DELETE](https://docs.aws.amazon.com/lake-formation/latest/dg/lf-permissions-reference.html#perm-delete) permissions from Lake Formation for the tables involved. The IAM role must have `glue:UpdateTable` permissions, and also permissions to the data location associated with the Data Catalog table. 

# How AWS Glue DataBrew works with IAM


Before you use IAM to manage access to DataBrew, you should understand what IAM features are available to use with DataBrew. To get a high-level view of how DataBrew and other AWS services work with IAM, see [AWS Services That Work with IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_aws-services-that-work-with-iam.html) in the *IAM User Guide*.

**Topics**
+ [

## DataBrew identity-based policies
](#security_iam_service-with-iam-id-based-policies)
+ [

## Resource-based policies in DataBrew
](#security_iam_service-with-iam-resource-based-policies)
+ [

## DataBrew IAM Roles
](#security_iam_service-with-iam-roles)

## DataBrew identity-based policies


With IAM identity-based policies, you can specify allowed or denied actions and resources, and also the conditions under which actions are allowed or denied. DataBrew supports specific actions, resources, and condition keys. To learn about all of the elements that you use in a JSON policy, see [IAM JSON Policy Elements Reference](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements.html) in the *IAM User Guide*.

### Actions


Administrators can use AWS JSON policies to specify who has access to what. That is, an AWS JSON policy can specify which principal can perform actions on what resources, and under what conditions.

The Action element of a JSON policy describes the actions to which you can allow or deny access in a policy. Policy actions usually have the same name as the associated AWS API operation. There are some exceptions, such as permission-only actions that don't have a matching API operation. There are also some operations that require multiple actions in a policy. These additional actions are called dependent actions.

Include actions in a policy to grant permissions to perform the associated operation.

Policy actions in DataBrew use the following prefix before the action: `databrew:`. For example, to grant someone permission to run an Amazon EC2 instance with the Amazon EC2 `RunInstances` API operation, you include the `ec2:RunInstances` action in their policy. Policy statements must include either an `Action` or `NotAction` element. DataBrew defines its own set of actions that describe tasks that you can perform with it.

To specify multiple actions in a single statement, separate them with commas as follows.

```
"Action": [
      "databrew:CreateRecipeJob",
      "databrew:UpdateSchedule"
```

You can specify multiple actions using wildcards (\$1). For example, to specify all actions that begin with the word `Describe`, include the following action.

```
"Action": "databrew:Describe*"
```

To see a list of DataBrew actions, see [Actions Defined by AWS Glue DataBrew](https://docs.aws.amazon.com/service-authorization/latest/reference/list_databrew.html#databrew-actions-as-permissions) in the *IAM User Guide*.

### Resources


Administrators can use AWS JSON policies to specify who has access to what. That is, which **principal** can perform **actions** on what **resources**, and under what **conditions**.

The `Resource` JSON policy element specifies the object or objects to which the action applies. As a best practice, specify a resource using its [Amazon Resource Name (ARN)](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference-arns.html). For actions that don't support resource-level permissions, use a wildcard (\$1) to indicate that the statement applies to all resources.

```
"Resource": "*"
```

The following are the DataBrew APIs that don't support resource level permissions:
+ ListDatasets
+ ListJobs
+ ListProjects
+ ListRecipes
+ ListRulesets
+ ListSchedules

The DataBrew dataset resource has the following Amazon Resource Name (ARN).

```
arn:${Partition}:databrew:${Region}:${Account}:dataset/${Name}
```

For more information about the format of ARNs, see [Amazon Resource Names (ARNs) and AWS Service Namespaces](https://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html).

For example, to specify the `i-1234567890abcdef0` instance in your statement, use the following ARN.

```
"Resource": "arn:aws:databrew:us-east-1:123456789012:dataset/my-chess-dataset"
```

To specify all instances that belong to a specific account, use the wildcard (\$1).

```
"Resource": "arn:aws:databrew:us-east-1:123456789012:dataset/*"
```

You can't perform some DataBrew actions, such as those for creating resources, on a specific resource. In those cases, you must use the wildcard (\$1).

```
"Resource": "*"
```

To see a list of DataBrew resource types and their ARNs, see [Resources Defined by AWS Glue DataBrew](https://docs.aws.amazon.com/service-authorization/latest/reference/list_databrew.html#databrew-resources-for-iam-policies) in the *IAM User Guide*. To learn with which actions you can specify the ARN of each resource, see [Actions Defined by AWS Glue DataBrew](https://docs.aws.amazon.com/service-authorization/latest/reference/list_databrew.html#databrew-actions-as-permissions).

### Condition keys


DataBrew doesn't provide any service-specific condition keys, but it does support using some global condition keys. To see all AWS global condition keys, see [AWS global condition context keys](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_condition-keys.html) in the *IAM User Guide*.

### Examples




To view examples of DataBrew identity-based policies, see [Identity-based policy examples for AWS Glue DataBrew](security_iam_id-based-policy-examples.md).

## Resource-based policies in DataBrew


DataBrew doesn't support resource-based policies.

## DataBrew IAM Roles


An [IAM role](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html) is an entity within your AWS account that has specific permissions.

### Using temporary credentials with DataBrew


You can use temporary credentials to sign in with federation, assume an IAM role, or to assume a cross-account role. You get temporary security credentials by calling AWS STS API operations such as [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html) or [GetFederationToken](https://docs.aws.amazon.com/STS/latest/APIReference/API_GetFederationToken.html). 

DataBrew supports using temporary credentials. 

### Service-linked roles


[Service-linked roles](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_terms-and-concepts.html#iam-term-service-linked-role) allow AWS services to access resources in other services to complete an action on your behalf. Service-linked roles appear in your IAM account and are owned by the service. An administrator can view but not edit the permissions for service-linked roles.

### Choosing an IAM role in DataBrew


When you create a dataset resource in DataBrew, you choose an IAM role to allow DataBrew access on your behalf. If you have previously created a service role or service-linked role, then DataBrew provides you with a list of roles to choose from. Make sure to choose a role that allows read access to an Amazon S3 bucket or AWS Glue Data Catalog resource, as appropriate. 

# Identity-based policy examples for AWS Glue DataBrew
Identity-based policy examples

By default, users and roles don't have permission to create or modify DataBrew resources. They also can't perform tasks using the AWS Management Console, AWS CLI, or AWS APIs. An administrator must create IAM policies that grant users and roles permission to perform specific API operations on the specified resources they need. The administrator must then attach those policies to the users or groups that require those permissions.

To learn how to create an IAM identity-based policy using these example JSON policy documents, see [Creating Policies on the JSON Tab](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_create.html#access_policies_create-json-editor) in the *IAM User Guide*.

**Topics**
+ [

## Policy best practices
](#security_iam_service-with-iam-policy-best-practices)
+ [

## Using the DataBrew console
](#security_iam_id-based-policy-examples-console)
+ [

## Allowing users to view their own permissions
](#security_iam_id-based-policy-examples-view-own-permissions)
+ [

## Managing DataBrew resources based on tags
](#security_iam_id-based-policy-examples-view-widget-tags)

## Policy best practices


Identity-based policies determine whether someone can create, access, or delete DataBrew resources in your account. These actions can incur costs for your AWS account. When you create or edit identity-based policies, follow these guidelines and recommendations:
+ **Get started with AWS managed policies and move toward least-privilege permissions** – To get started granting permissions to your users and workloads, use the *AWS managed policies* that grant permissions for many common use cases. They are available in your AWS account. We recommend that you reduce permissions further by defining AWS customer managed policies that are specific to your use cases. For more information, see [AWS managed policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html#aws-managed-policies) or [AWS managed policies for job functions](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_job-functions.html) in the *IAM User Guide*.
+ **Apply least-privilege permissions** – When you set permissions with IAM policies, grant only the permissions required to perform a task. You do this by defining the actions that can be taken on specific resources under specific conditions, also known as *least-privilege permissions*. For more information about using IAM to apply permissions, see [ Policies and permissions in IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html) in the *IAM User Guide*.
+ **Use conditions in IAM policies to further restrict access** – You can add a condition to your policies to limit access to actions and resources. For example, you can write a policy condition to specify that all requests must be sent using SSL. You can also use conditions to grant access to service actions if they are used through a specific AWS service, such as CloudFormation. For more information, see [ IAM JSON policy elements: Condition](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_condition.html) in the *IAM User Guide*.
+ **Use IAM Access Analyzer to validate your IAM policies to ensure secure and functional permissions** – IAM Access Analyzer validates new and existing policies so that the policies adhere to the IAM policy language (JSON) and IAM best practices. IAM Access Analyzer provides more than 100 policy checks and actionable recommendations to help you author secure and functional policies. For more information, see [Validate policies with IAM Access Analyzer](https://docs.aws.amazon.com/IAM/latest/UserGuide/access-analyzer-policy-validation.html) in the *IAM User Guide*.
+ **Require multi-factor authentication (MFA)** – If you have a scenario that requires IAM users or a root user in your AWS account, turn on MFA for additional security. To require MFA when API operations are called, add MFA conditions to your policies. For more information, see [ Secure API access with MFA](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_configure-api-require.html) in the *IAM User Guide*.

For more information about best practices in IAM, see [Security best practices in IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html) in the *IAM User Guide*.

## Using the DataBrew console
Using the console

To access the AWS Glue DataBrew console, you must have a minimum set of permissions. These permissions must enable you to list and view details about the DataBrew resources in your AWS account. If you create an identity-based policy that is more restrictive than the minimum required permissions, the console doesn't function as intended for users or roles with that policy.

To ensure that users and roles can use the DataBrew console, also attach the following AWS managed policy to the entities. For more information, see [Adding Permissions to a User](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users_change-permissions.html#users_change_permissions-add-console) in the *IAM User Guide*.

```
AWSDataBrewConsoleAccess
```

You don't need to allow minimum console permissions for users that are making calls only to the AWS CLI or the DataBrew API. Instead, allow access to only the actions that match the API operation that you're trying to perform.

## Allowing users to view their own permissions


This example shows how you might create a policy that allows IAM users to view the inline and managed policies that are attached to their user identity. This policy includes permissions to complete this action on the console or programmatically using the AWS CLI or AWS API.

```
{
    "Version": "2012-10-17",		 	 	 
    "Statement": [
        {
            "Sid": "ViewOwnUserInfo",
            "Effect": "Allow",
            "Action": [
                "iam:GetUserPolicy",
                "iam:ListGroupsForUser",
                "iam:ListAttachedUserPolicies",
                "iam:ListUserPolicies",
                "iam:GetUser"
            ],
            "Resource": ["arn:aws:iam::*:user/${aws:username}"]
        },
        {
            "Sid": "NavigateInConsole",
            "Effect": "Allow",
            "Action": [
                "iam:GetGroupPolicy",
                "iam:GetPolicyVersion",
                "iam:GetPolicy",
                "iam:ListAttachedGroupPolicies",
                "iam:ListGroupPolicies",
                "iam:ListPolicyVersions",
                "iam:ListPolicies",
                "iam:ListUsers"
            ],
            "Resource": "*"
        }
    ]
}
```

## Managing DataBrew resources based on tags


You can use conditions in your identity-based policy to manage DataBrew resources based on tags, for example, to delete, update, or describe the resources. The following example shows a policy that denies the deletion of a project. However, deletion is denied only if the project tag *Owner* has the value of *admin*. This policy also grants the permissions necessary to deny this action on the console.

------
#### [ JSON ]

****  

```
{
   "Version":"2012-10-17",		 	 	 
   "Statement": [
      {
         "Sid": "DeleteResourceInConsole",
         "Effect": "Allow",
         "Action": "databrew:DeleteProject",
         "Resource": "*"
       },
       {
         "Sid": "DenyDeleteProjectIfAdminTag",
         "Effect": "Deny",
         "Action": "databrew:DeleteProject",
         "Resource": "arn:aws:databrew:*:*:project/*",
         "Condition": {
            "StringEquals": {"aws:ResourceTag/Owner": "admin"}
         }
      }
   ]
}
```

------

You can attach this policy to the users in your account. If a user named *richard-roe* attempts to delete a DataBrew project, the resource must not be tagged *Owner=admin* or *owner=admin*. Otherwise, the user is denied permission to delete the project. The condition tag key *Owner* matches both *Owner* and *owner* because condition key names are not case-sensitive. For more information, see [IAM JSON Policy Elements: Condition](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_condition.html) in the *IAM User Guide*.

**Note**  
ListDatasets, ListJobs, ListProjects, ListRecipes, ListRulesets, and ListSchedules do not support tag-based access control.

# AWS managed policies for AWS Glue DataBrew
AWS Managed Policies for DataBrew

To add permissions to users, groups, and roles, it is easier to use AWS managed policies than to write policies yourself. It takes time and expertise to create [IAM customer managed policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_create-console.html) that provide your team with only the permissions they need. To get started quickly, you can use our AWS managed policies. These policies cover common use cases and are available in your AWS account. For more information about AWS managed policies, see [AWS managed policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html#aws-managed-policies) in the IAM User Guide.

AWS services maintain and update AWS managed policies. You can't change the permissions in AWS managed policies. Services occasionally add additional permissions to an AWS managed policy to support new features. This type of update affects all identities (users, groups, and roles) where the policy is attached. Services are most likely to update an AWS managed policy when a new feature is launched or when new operations become available. Services do not remove permissions from an AWS managed policy, so policy updates won't break your existing permissions.

Additionally, AWS supports managed policies for job functions that span multiple services. For example, the *ReadOnlyAccess* AWS managed policy provides read-only access to all AWS services and resources. When a service launches a new feature, AWS adds read-only permissions for new operations and resources. For a list and descriptions of job function policies, see [AWS managed policies for job functions](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_job-functions.html) in the IAM User Guide.

## DataBrew updates to AWS managed policies
DataBrew updates to AWS managed policies

View details about updates to AWS managed policies for DataBrew since this service began tracking these changes. For automatic alerts about changes to this page, subscribe to the RSS feed on the DataBrew Document history page. The managed policy can be found on the AWS IAM console at [https://console.aws.amazon.com/iam/home#policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy).


| Change | Description | Date | 
| --- | --- | --- | 
|   [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole) – Read permission for AWS Glue was added.   |   This update adds `glue:GetCustomEntityType`. This permission is required to execute AWS Glue DataBrew profile jobs with PII-identification enabled.   |  March 20, 2024  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole) - Read permission for AWS Glue was added.  |  This update adds `glue:BatchGetCustomEntityTypes`. This permission is required to execute AWS Glue DataBrew profile jobs with PII-identification enabled.  |  May 9, 2022  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read permissions for Amazon Redshift-Data DescribeStatements and Amazon S3 GetLifecycleConfiguration were added.  |  This update adds `redshift-data:DescribeStatement` to support validating your SQL when creating an Amazon Redshift-based dataset. It also adds `s3:GetLifecycleConfiguration` to evaluate whether or not the Amazon S3 bucket prefix you are providing as a temporary directory has the lifecycle configured. Additionally, this change replaces "databrew:\$1" permissions with an explicit list of permissions including all DataBrew APIs.  |  February 4, 2022  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read/write permissions for AWS Secrets Manager were added.  |  This update adds `secretsmanager:CreateSecret` and `secretsmanager:GetSecretValue` for a secret named `databrew!default`, a default secret for use with DataBrew transforms. Additionally, it adds permissions to CreateSecret for secrets prefixed with `AwsGlueDataBrew-` for creating secrets from the DataBrew console. [GenerateRandom](https://docs.aws.amazon.com/kms/latest/APIReference/API_GenerateRandom.html), described in the *AWS Key Management Service API Reference*, is used to generate a random byte string that is cryptographically secure.  |  November 18, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole) - Read/write permissions for AWS Secrets Manager were added.  |  This update adds `secretsmanager:GetSecretValue` for a secret named `databrew!default`, a default secret for use with DataBrew transforms.  |  November 18, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read/write permissions for AWS Secrets Manager were added.  |  This update adds `secretsmanager:CreateSecret` and `secretsmanager:GetSecretValue` for a secret named `databrew!default`, a default secret for use with DataBrew transforms. Additionally, it adds permissions to CreateSecret for secrets prefixed with `AwsGlueDataBrew-` for creating secrets from the DataBrew console. `kms:GenerateRandom` (`https://docs.aws.amazon.com/kms/latest/APIReference/API_GenerateRandom.html`) is used to generate a random byte string that is cryptographically secure.  |  November 18, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/service-role/AWSGlueDataBrewServiceRole) - Read/write permissions for AWS Secrets Manager were added.  |  This update adds `secretsmanager:GetSecretValue` for a secret named `databrew!default`, a default secret for use with DataBrew transforms.  |  November 18, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read permissions for AWS Glue catalog databases and create permissions for AWS Glue catalog table were added.  |  This update adds permissions to list AWS Glue Catalog databases and create new catalog tables under an existing database as part of configuring output to DataBrew jobs.  |  June 30, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read/write permissions for Amazon AppFlow dataset feature were added.  |  This update adds permissions to read existing Amazon AppFlow flows and flow executions and to create flow executions.  |  April 28, 2021  | 
|  [https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AwsGlueDataBrewFullAccessPolicy) - Read permissions for database datasets were added.  |  This update adds permissions to read existing AWS Glue connections and create new AWS Glue connections for use with DataBrew.   Also, to make the console experience of creating new connections easier, it allows listing of Amazon VPC resources and Amazon Redshift clusters. It also gives permission to list, but not read, AWS Secrets Manager secrets.  |  March 30, 2021  | 
|  DataBrew started tracking changes  |  DataBrew started tracking changes for its AWS managed policies.  |  March 30, 2021  | 

# Troubleshooting identity and access in AWS Glue DataBrew
Troubleshooting

Use the following information to help you diagnose and fix common issues that you might encounter when working with DataBrew and IAM.

**Topics**
+ [

## I am not authorized to perform an action in DataBrew
](#security_iam_troubleshoot-no-permissions)
+ [

## I am not authorized to perform iam:PassRole
](#security_iam_troubleshoot-passrole)
+ [

## I want to allow people outside of my AWS account to access my DataBrew resources
](#security_iam_troubleshoot-cross-account-access)

## I am not authorized to perform an action in DataBrew


If the AWS Management Console tells you that you're not authorized to perform an action, contact your administrator for assistance. Your administrator is the person that provided you with your sign-in credentials.

The following example error occurs when the `mateojackson` user tries to use the console to view details about a project but doesn't have `databrew:DescribeProject` permissions.

```
User: arn:aws:iam::123456789012:user/mateojackson is not authorized to perform: databrew:DescribeProject on resource: my-example-project
```

In this case, Mateo asks his administrator to update his policies to allow him to access the `my-example-project` resource using the `databrew:GetProject` action.

## I am not authorized to perform iam:PassRole


If you receive an error that you're not authorized to perform the `iam:PassRole` action, your policies must be updated to allow you to pass a role to DataBrew.

Some AWS services allow you to pass an existing role to that service instead of creating a new service role or service-linked role. To do this, you must have permissions to pass the role to the service.

The following example error occurs when an IAM user named `marymajor` tries to use the console to perform an action in DataBrew. However, the action requires the service to have permissions that are granted by a service role. Mary does not have permissions to pass the role to the service.

```
User: arn:aws:iam::123456789012:user/marymajor is not authorized to perform: iam:PassRole
```

In this case, Mary's policies must be updated to allow her to perform the `iam:PassRole` action.

If you need help, contact your AWS administrator. Your administrator is the person who provided you with your sign-in credentials.

## I want to allow people outside of my AWS account to access my DataBrew resources


You can create a role that users in other accounts or people outside of your organization can use to access your resources. You can specify who is trusted to assume the role. For services that support resource-based policies or access control lists (ACLs), you can use those policies to grant people access to your resources.

To learn more, consult the following:
+ To learn whether DataBrew supports these features, see [How AWS Glue DataBrew works with IAM](security_iam_service-with-iam.md).
+ To learn how to provide access to your resources across AWS accounts that you own, see [Providing access to an IAM user in another AWS account that you own](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_common-scenarios_aws-accounts.html) in the *IAM User Guide*.
+ To learn how to provide access to your resources to third-party AWS accounts, see [Providing access to AWS accounts owned by third parties](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_common-scenarios_third-party.html) in the *IAM User Guide*.
+ To learn how to provide access through identity federation, see [Providing access to externally authenticated users (identity federation)](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_common-scenarios_federated-users.html) in the *IAM User Guide*.
+ To learn the difference between using roles and resource-based policies for cross-account access, see [Cross account resource access in IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies-cross-account-resource-access.html) in the *IAM User Guide*.