How enterprises can enable AI-built apps without creating shadow IT

Shadow IT in the context of AI-built applications refers to software generated by AI coding tools that operate on infrastructure not governed by an organization, posing significant security risks due to lack of visibility, control, and proper governance. These applications often arise because the sanctioned deployment paths are slower and more cumbersome, leading employees to use personal accounts, which lack proper access controls, audit trails, and telemetry. The invisibility of such shadow IT applications makes them difficult to monitor, review, or contain, increasing the risk of data breaches and security incidents. Restricting AI coding tools without providing a viable alternative can backfire, pushing more development into unmonitored environments. A successful sanctioned deployment path should offer speed, self-service, security by default, and visibility, helping organizations manage AI-built applications more effectively. Platforms like Northflank provide solutions by offering governed environments with features like project isolation, RBAC, secret management, microVM sandboxes, and audit logs, ensuring AI-built apps are securely deployed within an organization's oversight.

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