SEC-AF

AI-native code security auditor built on AgentField that proves exploitability with verdicts and evidence traces.

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SEC-AF is an open-source security auditor built on the AgentField platform that uses a multi-agent AI pipeline to find and then verify code vulnerabilities, only reporting findings it can prove are exploitable with a data-flow trace. It is aimed at application security engineers who want fewer, higher-confidence findings instead of a long list of unverified scanner output.

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Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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