HIGH
Model Theft & Intellectual Property Protection
Proprietary AI models represent significant enterprise investment and competitive advantage, making them high-value targets for extraction, reverse engineering, or unauthorized replication. Attackers can use model inversion, membership inference, or API-based extraction techniques to steal model weights, training data, or decision boundaries. Evaluate vendors on their ability to detect extraction attempts, enforce rate limiting and query patterns analysis, watermark model outputs, and protect model artifacts at rest and in transit. Solutions should align with trade secret protection frameworks and support audit trails for model access.