Lateral movement, in the context of Large Language Model (LLM) security, describes the phase where an attacker, having gained initial access and potentially escalated privileges within an LLM-based system, extends their reach to other interconnected systems or user accounts. As defined by recent research, it involves 'cross-system and cross-user propagation' within a broader 'promptware' kill chain model. This mechanism works by leveraging the LLM's capabilities, such as executing code or interacting with APIs, to pivot to new targets, much like traditional malware campaigns expand their footprint. It matters because it transforms isolated LLM vulnerabilities into widespread security breaches, enabling attackers to achieve more significant objectives like data exfiltration or unauthorized transactions across an organization's infrastructure. Cybersecurity researchers, red teams, and security engineers developing and defending LLM-based applications are increasingly focused on understanding and mitigating lateral movement risks.
Lateral movement in LLM security describes when an attacker expands their reach from a compromised LLM application to other systems or users. It's a key stage in multi-step 'promptware' attacks, enabling attackers to leverage the LLM's capabilities to spread their influence across an organization's digital infrastructure.
cross-system propagation, cross-user propagation
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