QuickSight Row-Level Security

Introduction

Amazon QuickSight Row-Level Security (RLS) is a powerful feature that enables you to control access to data at a granular level based on user attributes. This ensures that users only see data that they are authorized to view, enhancing data security and compliance.

Key Concepts

• **Row-Level Security (RLS)**: The ability to restrict data access at the row level based on user roles and attributes.
• **Data Sources**: The original sources of data (e.g., databases, S3) from which QuickSight pulls data.
• **User Attributes**: Information about users (e.g., roles, departments) that determine what data they can access.
• **Security Policies**: Rules defining access levels based on user attributes.

Implementation Steps

1. Prepare Your Data

Ensure your data includes a column that can be used to filter rows based on user attributes, such as Department or Region.

2. Define User Attributes

In QuickSight, you can define user attributes under the Manage QuickSight section. For example, you can define an attribute called Department for each user.

3. Create Security Policies

Security policies can be created by following these steps:

4. Test Your Security Policy

After defining the security policies, use the Test as User feature to ensure that the policies are applied correctly and users can only see the intended data.

Best Practices

• Always use unique identifiers for user attributes to prevent data leaks.
• Regularly review and update security policies as user roles or organizational structures change.
• Utilize the Test as User feature frequently during development.
• Document your security policies and their logic for future reference.

FAQ