Model Fingerprinting

Techniques for identifying and attributing a machine learning model based on its unique behavioural characteristics, used for intellectual property protection and accountability.

Identifying a specific AI model by its unique behavioural patterns. Like a human fingerprint, every AI model has subtle quirks that can be used to trace outputs back to the source.

Model fingerprinting supports governance by enabling intellectual property protection and accountability. If your organisation develops proprietary AI models, fingerprinting provides a mechanism for detecting unauthorised copying or misuse.