Credential Scoping

Credential scoping refers to the practice of limiting access permissions granted to specific credentials, keys, or authentication tokens to only the minimum privileges necessary for their intended function. In AI governance, this principle directly reduces risk exposure in machine learning pipelines, data access layers, and API integrations by preventing compromised or misused credentials from providing unrestricted access to sensitive systems. Organizations implementing credential scoping can better audit AI model access to training data, prevent unauthorized model deployment, and comply with regulatory frameworks like HIPAA and SOC 2 that mandate principle of least privilege controls.

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