Topic

Data Exfiltration

Data exfiltration refers to the unauthorized transfer or extraction of sensitive data from an organization's systems or networks, often to external locations or threat actors. In AI governance contexts, this risk is particularly acute because AI models can be trained on or expose large volumes of proprietary, personal, or regulated data, creating multiple pathways for breach. Organizations must implement strict access controls, data classification policies, and monitoring mechanisms to prevent exfiltration and maintain compliance with regulations like GDPR, HIPAA, and industry-specific frameworks.

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