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GitHub Security Lab releases open source AI taskflows to detect logic bugs

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GitHub Security Lab open-sourced the Taskflow Agent framework and a library of YAML-based taskflows. This agentic system uses models like gpt-5.x or Claude Opus 4.6 to perform multi-step security audits. It moves beyond pattern matching by breaking audits into discrete stages: threat modeling, vulnerability suggestion, and evidence-based verification.

Traditional Static Application Security Testing (SAST) tools often miss logic bugs like Insecure Direct Object References (IDOR) because they lack context on intended permissions. GitHub data shows LLMs excel here, with a 25% success rate on business logic issues. This approach identifies critical flaws that have remained hidden for years.

Run these audits on repositories using the run_audit.sh script in a GitHub Codespace. A GitHub Copilot license is required, as the process consumes significant premium model quota through repeated tool calls. Results are stored in an SQLite database for manual verification of the suggested vulnerabilities.

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The GitHub Security Lab Taskflow Agent is designed to detect Auth Bypasses, IDORs, Token Leaks, and other vulnerabilities that often slip through standard tooling. Want to scan your own project? The taskflows are now open source and easy to run yourself. ⬇️ https://t.co/U5EINWPsL5

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