TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking
Researchers demonstrate AI agents can autonomously evolve jailbreak techniques, bypassing safety measures to execute sophisticated attack workflows—a escalation risk for organizations deploying LLM-based automation.
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arXiv:2605.30883v1 Announce Type: new Abstract: The rise of LLM agents introduces a new threat by enabling planning, coding, and even end-to-end execution of expert-level attack workflows. However, this threat remains underexplored and underestimated since (i) safety alignment prevents LLMs from directly generating harmful instructions, and (ii) most existing jailbreak methods cannot consistently induce agents to execute malicious operations. In this paper, we propose TRACE, a practical agentic
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