Lateral Movement

Lateral movement refers to the techniques attackers use to navigate through a network after gaining initial access, typically moving from one system or user account to another to reach high-value targets. In AI governance contexts, lateral movement represents a critical security threat where compromised AI systems, data pipelines, or user credentials could be leveraged to access sensitive model training data, proprietary algorithms, or connected enterprise systems. Organizations need robust access controls, network segmentation, and monitoring strategies to detect and prevent unauthorized lateral movement within their AI infrastructure and governance frameworks.

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