Authorization Vulnerabilities

Authorization vulnerabilities refer to security flaws that allow users or systems to access resources, data, or functions they should not have permission to use. These gaps in access control are critical for AI governance because they can enable unauthorized viewing, modification, or deletion of sensitive training data, model parameters, and compliance records. For enterprises, inadequate authorization controls create audit failures, regulatory violations, and potential exposure of proprietary AI systems to competitors or bad actors.

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