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Dual Authorization
Dual authorization is a security control requiring two independent approvals before sensitive actions can be executed in AI systems, such as model deployments or data access changes. This practice prevents unauthorized modifications and reduces the risk of malicious or erroneous changes by distributing decision-making authority across multiple stakeholders. For enterprises managing high-risk AI applications, dual authorization strengthens compliance with regulatory requirements around system integrity and auditability while also serving as a practical safeguard against insider threats.
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