How to Monitor Generative AI in Real Time Without Killing Performance
Architecture considerations for real-time AI monitoring that preserves performance.
Runtime AI monitoring has to be fast enough to sit in the path of production traffic. A control that adds too much latency will be bypassed, disabled, or moved out of the critical path where it cannot prevent harm.
Effective designs separate high-confidence blocking from deeper asynchronous analysis. They keep the hot path small, use clear policy boundaries, and preserve the evidence needed for later investigation.
The right architecture lets teams reduce risk without turning every AI interaction into a slow approval queue.