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Using LLMs to Find and Prioritize Vulnerabilities Is No Easy Task

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Using LLMs to Find and Prioritize Vulnerabilities Is No Easy Task

Large language models (LLMs) generate significant false-positive rates when applied to vulnerability detection and lack contextual understanding of scan results, creating additional workload for application security professionals.

Why it matters: AppSec teams evaluating LLM-assisted vulnerability tools need to account for operational overhead from false positives before adopting such solutions.

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