VulnVibes: AI Agent for Context-Aware Vulnerability Triage

The article introduces VulnVibes, an experimental AI security agent designed to analyze GitHub pull requests with full architectural context rather than isolated code scanning. Unlike traditional SAST tools, it reasons across multiple repositories, infrastructure configs, and service interactions to determine whether a vulnerability is actually exploitable.

It works in two stages: fast threat modeling to filter relevant changes, followed by deep investigation that traces attack paths across services, configs, and environments. The system produces structured verdicts with reasoning, confidence, and risk levels.

The key insight is that real security issues often emerge from system-level interactions, not single files, and effective AI tooling must replicate how human engineers analyze entire systems, not just code snippets.

https://www.anshuman.ai/posts/vulnvibes-intro

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