AI Data Exfiltration

AI data exfiltration refers to the unauthorized transfer or extraction of sensitive data through AI systems, often exploited by threat actors who manipulate models or access training datasets. Organizations face significant compliance risks when proprietary information, personal data, or trade secrets are stolen via compromised AI pipelines or prompt injection attacks. Governance frameworks must include data loss prevention controls, model access restrictions, and audit logging to detect and prevent exfiltration before it occurs.

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