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

Unit 42 · published 17 March 2026

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https://docs.paloaltonetworks.com/ai-runtime-security
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https://www.paloaltonetworks.com/unit42/assess/ai-security-assessment
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https://start.paloaltonetworks.com/contact-unit42.html
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https://www.qualcomm.com/news/onq/2023/11/the-generative-ai-economy-is-worth-up-to-7-trillion-dollars
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https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/content-filter?view=foundry-classic
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https://learn.microsoft.com/en-us/azure/ai-services/content-safety/concepts/jailbreak-detection
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https://owasp.org/www-project-top-10-for-large-language-model-applications/
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https://arxiv.org/abs/2211.09527
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https://www.ncsc.gov.uk/blog-post/prompt-injection-is-not-sql-injection
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https://live.paloaltonetworks.com/t5/community-blogs/genai-security-technical-blog-series-2-6-secure-ai-by-design/ba-p/590862
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https://www.geos.ed.ac.uk/~mscgis/12-13/s1100074/Holland.pdf
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https://www.cyberthreatalliance.org
cyberthreatalliance.org