How to preserve user permissions in API integrations for AI agents and RAG

API integrations used by AI agents and Retrieval-Augmented Generation (RAG) systems often access external data sources like Google Drive, SharePoint, Jira, Salesforce, and Notion, raising concerns about how user permissions are managed in these transactions. Properly handling user permissions is essential to avoid data leaks and compliance risks, and it should be considered from the initial design stages rather than as an afterthought. The article explores different architectural approaches for managing permissions: per-user authentication, which maintains exact permissions but complicates onboarding; org-wide authentication with permission syncing, which reduces user friction but risks data leakage due to sync delays; and custom internal permissions, which simplify control but require users to manage permissions in two systems. A hybrid approach using delegated API access, when supported, offers a balance by allowing for user-scoped tokens with reduced friction. Best practices suggest avoiding the recreation of complex external permission systems and using robust auth infrastructures like Nango, which facilitates seamless integration across over 600 APIs, offering tools like OAuth management and delegated access to simplify the process. Each approach involves trade-offs between security, complexity, performance, and user experience, and the choice should be tailored to each specific API integration rather than applying a one-size-fits-all solution.

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