Blockchain

Can Generative AI models be used to detect vulnerabilities in smart contracts?

KE Asked by Kevin Hudson · 11-11-2024
0 upvotes 8,802 views 0 comments
The question

I'm a blockchain developer exploring ways to automate our security audits. I’ve seen some researchers using LLMs to scan Solidity code for reentrancy attacks and integer overflows. Is the current generation of AI advanced enough to replace manual auditing, or is it still prone to missing logical flaws that a human auditor would catch? How do you integrate AI into a DevSecOps pipeline for Web3?

3 answers

0
MI
Answered on 05-02-2024

In late 2023, we ran a benchmark comparing AI auditors to human ones. The results showed that AI is incredible at finding common, "syntax-level" bugs like the ones you mentioned. However, it struggles with "Business Logic" vulnerabilities—flaws that arise from how different functions interact across a complex DeFi protocol. The best practice is to include an AI-scanning stage in your CI/CD pipeline (using tools like Slither combined with an LLM-based summary) as a "pre-audit." It catches the "low-hanging fruit" so that your human auditors can spend their expensive time focusing on the high-level logic and game-theory risks.

0
BR
Answered on 10-03-2024

Does the training data for these models include the most recent hacks and exploit patterns from 2024? If the model's knowledge cutoff is older, wouldn't it miss newer, more sophisticated attack vectors that have only recently emerged in the Ethereum ecosystem?

KE 15-03-2024

Brian, that is exactly why we use RAG for our security bot! We feed it the latest post-mortem reports from platforms like Rekt or PeckShield. By providing the "Context" of the latest 2024 exploits, the AI stays updated even if the base model's training ended in 2023. It’s not a replacement for a human, but it acts like a very fast research assistant that knows every major hack that happened last week.

0
SU
Answered on 20-04-2024

AI is a great "linter" for security, but it’s not a silver bullet. Use it for the first pass, but never skip the formal verification or a professional audit before deploying to Mainnet.

MI 25-04-2025

Well said, Susan. We treat AI as a "Super-Linter." It flags things that look suspicious, which makes our manual review much more efficient, but we never trust a "Green" report from an AI blindly.

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