Inside the benchmark: app architectures, walkthroughs of findings, and what each scanner actually caught
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Part 2 of a security benchmark study comparing LLM-based security scanners (Neo, Claude Code) against traditional SAST/DAST tools on AI-generated code, finding that Neo detects more true positives with fewer false positives by validating findings against running applications.
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ProjectDiscovery Neo
Claude Code
This is Part 2 of our vibe coding security benchmark study. In Part 1, we compared how LLM-based security tools like ProjectDiscovery's Neo and Claude Code performed against traditional SAST and DAST scanners on AI-generated code. We found that LLM-based tools like Neo and Claude Code detected many high-value findings that traditional scanners missed. Between Neo and Claude Code, Neo produced more true positives and fewer false positives because it could validate hypotheses against a running app