Why LLMs Hallucinate Vulnerabilities
xbow.com | research | #ai-security | #appsec | #llm | #false-positives | #validation | #hallucination
Summary
Explains why LLMs produce confident but false vulnerability findings (plausibility is not proof) and why results must be validated against real system behavior.
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- Collected
--- id: 5195 title: "Why LLMs Hallucinate Vulnerabilities" source_domain: xbow.com source_url: "https://xbow.com/blog/why-llms-hallucinate-vulnerabilities" published_at: "2026-01-15T21:33:00Z" tags: ["ai-security", "appsec", "llm", "false-positives", "validation", "hallucination"] phying_url: "https://phying.com/item/5195" lang: en --- # Why LLMs Hallucinate Vulnerabilities ## Summary Explains why LLMs produce confident but false vulnerability findings (plausibility is not proof) and why results must be validated against real system behavior. ## Intelligence Metadata - **Sources:** xbow.com - **Published:** 2026-01-15T21:33:00Z - **Original:** https://xbow.com/blog/why-llms-hallucinate-vulnerabilities - **Phying News:** https://phying.com/item/5195