Model extraction is an attack technique that attempts to infer, copy, or approximate a machine-learning model by querying it or observing its behavior.
Security teams consider model extraction when protecting proprietary models, limiting API abuse, monitoring suspicious query patterns, and assessing AI risk.
Additional Resource: Authoritative source.