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IBM researchers have identified a critical security risk in multi-agent AI systems: when AI agents interact with each other, vulnerabilities can emerge in the gaps between their communications, similar to a telephone game where information degrades in transmission. These hidden security gaps may allow attackers to exploit assumptions about what each agent knows, potentially bypassing safeguards that work in single-agent scenarios.
Why it matters: As enterprises increasingly deploy multiple AI agents to work together on complex tasks, understanding these communication-based vulnerabilities is essential for building secure AI infrastructure and preventing novel attack vectors.
