AI Model Security

AI Model Security describes the controls used to protect AI models and their surrounding systems from unauthorized access, data leakage, manipulation, model theft, and adversarial attacks. It matters because organizations need clear technical and operational boundaries around AI before they can use it reliably at scale. Related concepts often include governance, integration, monitoring, evaluation, and human oversight.