Using AI Agents for Code Auditing: Full Walkthrough on Finding Security Bugs in a Rust REST Server with Hound
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: [https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf](https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf) Use it responsibly for ethical auditing only.
AI Analysis
Technical Summary
This content has been identified as promotional or non-threat material.
Potential Impact
No security impact - promotional content.
Mitigation Recommendations
No mitigation needed - not a security threat.
Using AI Agents for Code Auditing: Full Walkthrough on Finding Security Bugs in a Rust REST Server with Hound
Description
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: [https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf](https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf) Use it responsibly for ethical auditing only.
AI-Powered Analysis
Technical Analysis
This content has been identified as promotional or non-threat material.
Potential Impact
No security impact - promotional content.
Mitigation Recommendations
No mitigation needed - not a security threat.
Technical Details
- Source Type
- Subreddit
- netsec
- Reddit Score
- 1
- Discussion Level
- minimal
- Content Source
- reddit_link_post
- Domain
- muellerberndt.medium.com
- Newsworthiness Assessment
- {"score":21.1,"reasons":["external_link","newsworthy_keywords:rce,ttps,analysis","non_newsworthy_keywords:tutorial,walkthrough,introduction to","established_author","very_recent"],"isNewsworthy":true,"foundNewsworthy":["rce","ttps","analysis"],"foundNonNewsworthy":["tutorial","walkthrough","introduction to"]}
- Has External Source
- true
- Trusted Domain
- false
Threat ID: 68be4797e3f0bafba8ab6713
Added to database: 9/8/2025, 3:03:51 AM
Last enriched: 9/8/2025, 3:03:56 AM
Last updated: 2/6/2026, 3:23:27 PM
Views: 160
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