AI-Powered Framework for Scalable Vulnerability Scanning

The article explains how GitHub Security Lab’s open source AI-powered framework uses an agent-based system (Taskflow Agent) to automate vulnerability discovery in codebases. It combines LLM reasoning with structured “taskflows” (step-by-step workflows) to systematically audit software for issues like auth bypasses, IDORs, and token leaks. The framework integrates with tools like CodeQL and external services to handle deterministic tasks, while reserving AI for deeper analysis. It has proven effective at finding high-impact bugs in open source projects, demonstrating a scalable, collaborative approach to modern security research. 

https://github.blog/security/how-to-scan-for-vulnerabilities-with-github-security-labs-open-source-ai-powered-framework

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