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Input wrappers meant to defend against prompt injection are fundamentally limited: you can't have continuity, utility, and complete safety, no matter how clever the wrapper.
Agentic LLMs are surprisingly vulnerable: a new framework finds successful attacks in 84% of attempts by escalating prompt injection techniques across multiple stages.
