How enterprises should govern AI-built applications at scale

AI coding tools have transformed software development in enterprises by enabling non-engineers to build and deploy applications, which necessitates a shift in governance from model-level to infrastructure-level controls. Traditional governance frameworks focused on how AI models are used, but AI-built applications require oversight on deployment, execution isolation, credential management, and logging. This need reflects the increased velocity and volume of AI-generated code, which demands automation of governance processes. Northflank offers a managed platform providing the necessary infrastructure governance with features like RBAC, SSO, sandbox isolation, secrets management, and audit logging to ensure safe production environments for AI-built applications, addressing the gap in traditional governance frameworks.

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