Enterprise Deployment and Management of Cursor AI
Understand how to deploy and manage Cursor AI across your enterprise workflow effectively. This lesson covers user management with SSO, centralized team and billing controls, enforcing security policies, monitoring AI usage and costs, and best practices to scale adoption securely and efficiently.
Adopting any new tool across a large engineering organization presents a unique set of challenges. Beyond individual productivity, team leads and administrators must look into considerations around security, compliance, cost management, and standardization. A tool that is powerful for a single developer is only viable at an enterprise level if it can be managed, monitored, and securely integrated into the company’s existing infrastructure.
Cursor provides a suite of enterprise-grade features designed to address these challenges. This lesson moves beyond the individual developer’s workflow and focuses on the perspective of a team lead or administrator responsible for deploying, and managing Cursor at scale. We will explore the key features that make Cursor a secure and manageable tool for professional engineering teams.
Centralized user management with SSO (SAML)
In an enterprise environment, managing user access to dozens of different tools can be a significant security and administrative burden. Cursor addresses this by supporting Single Sign-On (SSO), typically through the SAML protocol.
This allows an organization to integrate Cursor with their central Identity Provider (IdP), such as Okta, ...