Row Level Security

What it does

This skill enables AI agents to implement row-level security (RLS) policies. It allows you to define granular access controls based on user roles or attributes, ensuring that users only see and interact with data they are authorized to view. The skill facilitates the creation of secure applications by restricting data access at the individual row level within a database table.

When to use it

• Sensitive Data Management: When dealing with customer records containing personally identifiable information (PII) or financial data, ensuring only authorized personnel can access specific rows is crucial.
• Multi-Tenant Applications: In applications serving multiple clients, RLS prevents one client from accessing another's data by restricting row visibility based on tenant identifiers.
• Role-Based Access Control (RBAC): Implement RBAC within a database to ensure users with specific roles can only modify or view relevant rows of data.
• Compliance Requirements: When adhering to regulations like GDPR or HIPAA, RLS helps enforce strict data access controls and audit trails.

Key capabilities

• Defines row-level security policies.
• Enforces access control based on user attributes.
• Supports role-based restrictions.
• Restricts data visibility at the individual row level.

Example prompts

• "Implement a policy to restrict sales representatives from viewing customer records outside their assigned territory."
• "Create an RLS rule so that managers can only view rows where the 'status' column is 'approved'."
• "Apply row-level security based on user roles, allowing ‘admin’ users full access and ‘editor’ users read-only access to specific data.”

Tips & gotchas

This skill requires a database system that supports row-level security features. Ensure your database configuration allows for RLS policies before attempting to implement them with this skill.