OpenAI and Paradigm develop EVMbench to test blockchain security
OpenAI, the company founded by Sam Altman, has unveiled a new tool called EVMbench. This tool was developed jointly with the investment firm Paradigm and is designed to test the ability of modern artificial intelligence systems to help ensure the security of smart contracts on the blockchain.
Smart contracts are an integral part of the cryptocurrency and blockchain ecosystem. They allow many financial transactions and deals to be automated. However, vulnerabilities in smart contract code can lead to serious problems, such as wallet hacking and cryptocurrency theft. That is why the issue of smart contract security is becoming increasingly crucial for the industry.
EVMbench is a set of tests designed to assess the ability of modern language AI models, such as GPT-4, to analyze and detect potential vulnerabilities in smart contract code. This tool allows you to check whether AI systems can identify errors and shortcomings in smart contracts before they are deployed on the blockchain.
The use of AI for smart contract auditing can be an important step in ensuring the security of the cryptocurrency ecosystem. Automated systems are able to analyze much more code than human auditors and find more subtle vulnerabilities. This is especially relevant for DeFi projects, where the value of assets can reach billions of dollars.
The testing conducted by OpenAI and Paradigm has shown that modern language AI models are capable of identifying many common types of vulnerabilities in smart contracts. This is a promising result that could lead to wider adoption of AI tools for blockchain security.
Expert Opinion
The development of EVMbench is an important step towards using AI to improve the security of smart contracts. If this technology is successfully implemented, it can help prevent many cases of wallet hacking and cryptocurrency theft that have become more frequent in the DeFi ecosystem recently. However, it is important to remember that AI systems cannot completely replace human auditing and testing. For maximum blockchain security, a comprehensive approach combining automated analysis and expert expertise is needed.