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Hey r/netsec,
As a security researcher, I've been exploring ways to leverage AI for more effective code audits. In my latest Medium article, I dive into a complete end-to-end walkthrough using Hound, an open-source AI agent designed for code security analysis. Originally built for smart contracts, it generalizes well to other languages.
What's in the tutorial:
Introduction to Hound and its knowledge graph approach
Setup: Selecting and preparing a Rust codebase
Building aspect graphs (e.g., system architecture, data flows)
Running the audit: Generating hypotheses on vulnerabilities
QA: Eliminating false positives
Reviewing findings: A real issue uncovered
Exporting reports and key takeaways
At the end of the article, we create a quick proof-of-concept for one of the tool's findings.
The full post Is here:
Use it responsibly for ethical auditing only.