Record summary
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Risk profile
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"Cascading Security Failures. Localised attacks in multi-agent systems can result in catastrophic macroscopic outcomes (Motter & Lai, 2002, see also Sections 3.2 and 3.4). These cascades can be hard to mitigate or recover from because component failure may be difficult to detect or localise in multi-agent systems (Lamport et al., 1982), and authentication challenges can facilitate false flag attacks (Skopik & Pahi, 2020). Computer worms represent a classic example of a cybersecurity threat that relies inherently on networked systems. Recent work has provided preliminary evidence that similar attacks can also be effective against networks of LLM agents (Gu et al., 2024; Ju et al., 2024; Lee & Tiwari, 2024, see also Case Study 8)."
Suggested mitigations
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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.
