Model Stealing

An attack where an adversary attempts to replicate a proprietary machine learning model by querying it and using the responses to train a substitute model.

Copying someone else's AI by repeatedly asking it questions and using the answers to build your own version. Like reverse-engineering a secret recipe by ordering the dish over and over.

Model theft is an intellectual property and competitive risk. Your AI governance framework should include controls to protect proprietary models, including access restrictions, query monitoring and legal protections.