Post Syndicated from Jeremy Ware original https://aws.amazon.com/blogs/security/how-to-use-amazon-verified-permissions-for-authorization/

Applications with multiple users and shared data require permissions management. The permissions describe what each user of an application is permitted to do. Permissions are defined as allow or deny decisions for resources in the application.

To manage permissions, developers often combine attribute-based access control (ABAC) and role-based access control (RBAC) models with custom code coupled with business logic. This requires a review of the code to understand the permissions, and changes to the code to modify the permissions. Auditing permissions within an application can require the same level of time and effort as a full application code review. This can cause delays to deliver and require additional time and resources to ascertain permissions across your application.

In this post, I will show you how to use Amazon Verified Permissions to define permissions within custom applications using the Cedar policy language. I’ll also show you how authorization requests are made.

Overview of Amazon Verified Permissions

Amazon Verified Permissions provides a prebuilt, flexible permissions system that you can use to build permissions based on both ABAC and RBAC in your applications. You define and manage fine-grained permissions using both permit policies, that grant permissions, and forbid policies, that restrict an action. This lets you focus on building or modernizing the application.

Amazon Verified Permissions maintains a centralized policy store, which helps you manage permissions throughout an application, authorize actions, and analyze permissions with automated reasoning. It also has an evaluation simulator tool to help you test your authorization decisions and author policies.

Policy creation

To author policies with Amazon Verified Permissions, use the purpose-built Cedar policy language to create specific permission policies that include traits of ABAC and RBAC. This allows you to apply granularity with least privilege in mind.

The following figure shows a permission policy for a document management application. In the figure, between the set of parentheses on lines 1-4 of the policy, RBAC is used, based on the principal’s UserGroup, to limit the permit action to registered users—and not guest or machine principals, for example. Between the brackets on lines 5–7 of the policy, ABAC is used, where resource.owner == principal limits access to the resource to only the owner.

Policies are developed in two ways:

• Developers build out policies as part of the deployment of the application – Policy permissions that are defined as part of deployment are a great way for developers to set up guardrails on actions that should not cross set boundaries.
• Policies are created through the use of the application by end users – Policy permissions that are configurable within the application provide the freedom for data to be shared between users.

We will walk you through these two approaches in the following sections.

Create policies as part of the deployment of the application

The following figure shows how a developer can configure a permit policy as part of the deployment of an application.

Policies configured by developers with pre-defined permissions that are deployed alongside the application is a familiar method for setting up guardrails in an application. Consider the document management application shown in Figure 3. There is a permit policy in place that allows users to view their own documents. Without a policy, the default result is a deny. You should also configure explicit forbid policies to act as guardrails to prevent overly permissive policies. In Figure 3, the policy restricts a user to only GET documents that they own or that are not tagged as private.

Create policies within the application by end users

The following figure shows how end users can apply policies within the application.

In a document sharing application, the application usually provides a simple end-user experience with a menu containing point-and-click actions that allow the user to select predefined permissions, such as read, write, or delete. Abstracted by the application, these permissions are transformed into Amazon Verified Permissions policy statements and stored in the designated policy location for the application. When an end user tries to take actions protected by these permissions, the application queries the Amazon Verified Permissions backend to determine if the principal in question has permissions to do so.

You can allow users of the application to create policies directly with respect to their given environments or current permissions. For example, if the application is targeted to system administrators or engineers who are technically proficient, you might choose not to hide the policy generation process behind a UI. The Amazon Verified Permissions policy grammar is designed for users comfortable with text-based query languages. Figure 5 shows an example policy that allows a user to GET or POST documents that they own.

Conclusion

Amazon Verified Permissions is a scalable, fine-grained permissions management and authorization service that helps you build and modernize applications without relying heavily on coding authorization within your applications. By using the Cedar policy language, you can define granular access controls that use both RBAC and ABAC and help end users create policies within the application. This allows for alignment of authorization standards across applications and provides clear visibility into existing permissions for review and audibility.

To learn more about ABAC and RBAC and how to design policy statements, see the blog post Get the best out of Amazon Verified Permissions by using fine-grained authorization methods.

 
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