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Paper · arXiv

Cheap to Hypothesize, Costly to Verify: The Defense Surface of Agentic Vulnerability Discovery

Autonomous LLM agents turn vulnerability discovery into a repository-scale search: they generate many vulnerability hypotheses but can verify only a subset under a finite budget. We show that autonomous vulnerability discovery exhibits a hypothesis-verification asymmetry, where verifying a candidate hypothesis through reachability analysis, execution, and proof-of-concept construction is substantially more expensive than forming it. Under a finite resource budget, this makes autonomous discovery a resource-bounded selective-verification process, further exposing verification effort as a unique defense surface. We present RedHerring, which inserts certifiably safe decoys that divert verifi...

AuthorsKaikai Zhang, Zihan Zhang, Yuchong Xie et al.
Primary categorycs.CR
Published28 September 2026
Last updated at source7 October 2026
cs.CRcs.AI
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