Production AI is an AI system that runs in live business operations, serving real users, customers, or internal workflows instead of staying in a lab, pilot, or test environment. At this stage, the model is only one part of the risk surface: the surrounding infrastructure, data flows, logging, access control, and update process matter just as much.
It matters in cyber security because production systems are always-on and exposed to real traffic. That makes them targets for API abuse, prompt injection, model extraction, data leakage, and denial-of-service attempts. Defenders need strong authentication, input filtering, monitoring, rate limiting, secret management, and rollback plans, plus controls for where sensitive data is processed. In practice, production AI is treated like any other critical service: it needs availability, integrity, and governance, not just a good model.