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> Open, Closed and Broken: Prompt Fuzzing Finds LLMs Still Fragile Across Open and Closed Models

[SOURCE] Palo Alto Unit 42 [AUTHOR: Yu Fu, May Wang, Royce Lu and Shengming Xu] [DATE: 17/03/2026 10:00] [LANGUAGE: EN]
Open, Closed and Broken: Prompt Fuzzing Finds LLMs Still Fragile Across Open and Closed Models
Unit 42 research unveils LLM guardrail fragility using genetic algorithm-inspired prompt fuzzing. Discover scalable evasion methods and critical GenAI security implications. The post Open, Closed and Broken: Prompt Fuzzing Finds LLMs Still Fragile Across Open and Closed Models appeared first on Unit 42.
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