Model Theft Trend 2026

Model theft occurs when an attacker steals a proprietary machine learning model by extracting its architecture, parameters, or training data. It is used via query-based attacks or reverse engineering to replicate valuable AI systems. Competitors benefit by gaining advanced capabilities without development costs, while attackers profit from selling stolen models or using them to bypass security measures.