To effectively scale AI, a resilient and globally available identity layer is essential, beginning with the right cloud-native database. This identity access management (IAM) system must support AI applications like chatbots and APIs by offering elastic scalability to handle sudden spikes in usage, strong consistency to prevent authorization failures, and high availability to ensure zero downtime. Additionally, it should incorporate fine-grained access controls, compliance with regulatory standards, and PostgreSQL compatibility for developer agility. Evaluating database approaches for IAM in AI contexts reveals that distributed SQL platforms like CockroachDB are particularly suited due to their balance of scalability, consistency, and operational speed. These platforms support the transactional demands of IAM while providing global data positioning and familiarity with SQL, making them a robust choice for AI environments where security and trust are paramount.