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Grounding exploration trajectories in an external fact-intent DAG prevents catastrophic context drift in autonomous agents, lifting hard CTF exploitation rates from ~25% to 75%.
LLMs are still wide open to jailbreaks, but this new method cuts attack success rates by nearly 5x by monitoring *intermediate* reasoning steps, not just the final output.
