What happens after AI builds your prototype?

In a rapidly evolving landscape where AI-generated prototypes become increasingly common, the gap between functional prototypes and production-ready applications poses a significant challenge, particularly regarding security and governance. The article highlights that while AI can rapidly generate apps, these often lack the robust security measures necessary for safe deployment, as traditional app-level security models falter under the speed and volume of AI generation. It argues that governance should shift from the app level to the resource level, meaning that permissions and security measures should be embedded in the data infrastructure rather than the app itself, thus ensuring consistent security regardless of the app builder. The piece emphasizes that without this shift, AI-generated apps risk proliferating ungoverned, creating vulnerabilities within enterprises. Retool proposes a solution by embedding governance at the resource level, thereby ensuring that all apps, regardless of how they are created, adhere to the same security boundaries, making data access visible and secure.