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AI and Smart Contract Security

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AI and Smart Contract Security

On March 15th, Yu Xianfa, the founder of Slow Fog, tweeted, “The smart contract codes of hyenas are generally simple, and I believe that GPT-4 can probably provide correct security advice. However, complex smart contract codes, especially those with human sophistry, and vulnerabilities that require other scenarios (or broader contexts), GPT-4 cannot handle them, but it can be used as an audit aid (if used well).” 。 In addition, AI can deceive people. “It seems that security audit companies can not only use GPT well in the future, but also audit whether GPT is’ doing evil ‘.”

Founder of Slow Fog: GPT-4 cannot handle complex smart contract codes, but can be used as an audit aid

Analysis based on this information:


On March 15th, Yu Xianfa, the founder of Slow Fog, tweeted about the relationship between smart contracts and artificial intelligence (AI). Xianfa suggested that while AI, specifically GPT-4, may be able to provide correct security advice for simple smart contract codes, it is not capable of handling complex codes that involve human sophistry and require other scenarios or broader contexts. However, Xianfa also recognized that AI can be a useful audit aid if used correctly.

The use of smart contracts has grown rapidly in recent years, alongside the increase in popularity of blockchain technology. Smart contracts use code to execute self-executing contracts with the terms of agreements between two or more parties without the need for intermediaries like lawyers. The ability to automate contract execution has the potential to reduce transaction costs and improve transparency. However, the security of smart contracts can be a significant concern as the code is publicly available and cannot be altered once deployed.

One way to mitigate the risk of vulnerabilities in smart contracts is through security audits. Security audit companies use specialized tools and techniques to identify and fix potential security issues in smart contract code. However, the growing complexity of smart contract code means that traditional auditing methods may no longer be sufficient.

This is where AI, such as GPT-4, could potentially assist in security audits. AI can analyze vast amounts of data and identify patterns that humans may overlook. Therefore, it has the potential to identify and address security vulnerabilities that traditional auditing methods may miss. However, as Xianfa notes, AI cannot handle the sophisticated vulnerabilities that involve human reasoning and broader contextual knowledge. Therefore, it is crucial to ensure that AI is used as an aid and not a replacement for human judgment in security audits.

Moreover, AI can deceive people, and it can also be used maliciously. It is vital for security audit companies to use AI carefully to audit smart contract security and to ensure that AI itself is not doing any harm.

In conclusion, the intersection of AI and smart contract security holds significant promise for improving security audits of increasingly complex smart contract code. However, it is essential to recognize the limitations of AI and to use it correctly as an audit aid. Furthermore, security audit companies must ensure that AI is not being used maliciously to deceive people.

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