Testing techniques to verify the resistance of AI systems to attacks aimed at extracting sensitive data, training information, or PII (Personally Identifiable Information) from models. Includes membership inference attacks, model inversion, data extraction via prompt injection, and response analysis to detect leakage of confidential information present in training datasets.