A Deep Dive into Preventing GenAI Model Theft
Model weights, parameters, and behaviors represent high-value intellectual property that can be stolen through technical, operational, or usage-based attack vectors.
To win, your GenAI solutions must protect model assets through layered technical controls, continuous monitoring, and prepared incident response.
Model theft risks increase as GenAI capabilities are exposed through APIs and shared infrastructure.
• Unrecognized theft vectors: Teams underestimate how models can be copied, inferred, or reconstructed through abuse.
• Weak model protections: Weights and parameters are stored or transferred without sufficient encryption or safeguards.
• Limited detection and response: Unauthorized usage and export attempts go unnoticed or lack clear response playbooks.
These gaps lead to IP loss, competitive disadvantage, and costly breach response after damage is already done.
In this hands-on workshop, your team designs practical defenses against GenAI model theft through guided analysis and applied exercises.
• Analyze common and emerging model theft vectors affecting GenAI systems.
• Apply encryption approaches to protect model weights and parameters at rest and in transit.
• Design monitoring to detect unauthorized export attempts and API abuse.
• Implement usage fingerprinting and watermarking strategies to trace misuse.
• Create incident response plans tailored to GenAI IP breach scenarios.
Understanding Model Theft Vectors
Encrypting Model Weights and Parameters
Monitoring for Unauthorized Export or API Abuse
Setting Up Usage Fingerprinting and Watermarking
Creating Incident Response Plans for IP Breach
• Identify realistic pathways for GenAI model theft.
• Protect model assets using encryption and access controls.
• Detect abnormal usage patterns linked to extraction or abuse.
• Apply fingerprinting and watermarking to trace stolen models.
• Leave with a clear incident response plan for model IP compromise.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate
Model protection patterns, monitoring concepts, and guided incident planning exercises