Trust Boundaries

Trust boundaries define the logical perimeters within an AI system where data, models, or computational processes transition between different security zones or stakeholder contexts. In enterprise governance, establishing clear trust boundaries is critical for preventing unauthorized access to sensitive training data, model parameters, and user information while maintaining compliance with regulations like GDPR and HIPAA. Organizations use trust boundary mapping to identify where encryption, authentication, and audit controls must be implemented to ensure AI systems operate within acceptable risk tolerances.

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