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ChannelGuard: From Borrowed Safety to Application-Controlled Defenses in Multi-Agent LLMs
AI assistants increasingly work as teams, where one model makes a plan, others search the web, use tools, or read stored information, and another writes the final answer. This creates new security risks because harmful instructions can enter through information passed between models, not just throug
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