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Same Code, Same Score: Making AI Audits Truly Deterministic

같은 코드는 같은 점수여야 한다: AI 감사의 재현성 확보

Why it matters

AI-powered code analysis tools face a fundamental problem: they often produce different audit scores when analyzing the same codebase, rendering them unreliable for critical business decisions. This piece explores how controlling LLM temperature settings and implementing deterministic consensus mechanisms can ensure reproducible results—essential for compliance officers, CTOs, and founders who depend on trustworthy security assessments.

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LLM temperatureAudit reproducibilityCVSS scoringIntentGuardConsensus pipelineDeterministic scoring

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