Multi-LLM Tool Found Hardcoded API Key in Docs Folder That Human Auditor Missed

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A software architect tested his AI-powered security tool, NexaVerify, against a senior infrastructure expert on the same codebase. The human expert spent over an hour and found 27 vulnerabilities, while NexaVerify completed its scan in 12 seconds and flagged 91 issues. The most critical missed finding was a Cloudinary API secret exposed in plain text inside an HTML documentation file, which had gone undetected for weeks. NexaVerify uses a multi-model consensus approach, with AI models from Gemini, Groq, and Cerebras cross-validating findings to reduce false signals. The developer argues this multi-stage validation method complements human expertise rather than replacing it, by automating detection of both obvious and obscure security patterns.

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