An AI Security Engineer protects AI systems and the data, software, and workflows they depend on. The role can cover the full lifecycle—from data preparation and model training to deployment and inference—and combines cybersecurity practices with knowledge of AI-specific risks.
In real-world defense, this work may include reviewing access to models and datasets, securing AI pipelines, testing systems for misuse or manipulation, and monitoring deployments for suspicious activity. These measures help reduce risks such as data exposure, compromised components, or unsafe model behavior. The title describes a specialized security function; it does not by itself indicate which tools or responsibilities a particular employer assigns.