Researchers propose EvoSafeHarness, a method for evolving model- and domain-specific safety harnesses that add a system-level enforcement layer to protect LLM agents against indirect prompt injections and direct harmful requests. The work addresses the limitation that existing safety harnesses are usually designed generically rather than tailored to a specific model or domain.
Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both indirect prompt injections and direct harmful requests. System-level safety harnesses add an enforcement layer beyond model-level defenses, but existing harnesses are usually designed
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