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Self-hosted AI agents can be compromised through corruption of their own memory and configuration files via legitimate OS calls, termed self-state attacks. This paper investigates the resilience of operating systems to such attacks by characterizing a four-axis attack space.
Self-hosted AI agents can be compromised through corruption of their own memory and configuration files via legitimate OS calls, termed self-state attacks. This paper investigates the resilience of operating systems to such attacks by characterizing a four-axis attack space.
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Self-hosted AI agents read and write their own memory and configuration files to function. An agent may get compromised via corruption of its own state -- a compromise realized via legitimate OS system call invocation. We refer to this class of threats as self-state attacks. In this paper, we investigate the OS...
Understanding OS defenses against self-state attacks is crucial for securing AI agents that manage their own state, as these vulnerabilities could undermine agent reliability and security. This research helps identify the limits of current OS protections in safeguarding AI agents.
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