Record summary
A quick snapshot of what this page covers.
Risk profile
How this risk is described and categorized.
"Vulnerable AI Agents. The use of AI agents as delegates or representatives of humans or organisa- tions also introduces the possibility of attacks on AI agents themselves. In other words, agents can be considered vulnerable extensions of their principals, introducing a novel attack surface (SecureWorks, 2023). Attacks on an AI agent could be used to extract private information about their principal (Wei & Liu, 2024; Wu et al., 2024a), or to manipulate the agent to take actions that the principal would find undesirable (Zhang et al., 2024a). This includes attacks that have direct relevance for ensuring safety, such as attacks on overseer agents (see Case Study 13), attempts to thwart cooperation (Huang et al., 2024; Lamport et al., 1982), and the leakage of information (accidentally or deliberately) that could be used to enable collusion (Motwani et al., 2024)."
Suggested mitigations
Defenses that may help with related attacks.
Source
Research source for this risk, when available.
Included resource
Multi-Agent Risks from Advanced AI
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
