EVMbench is a new testing framework from Sam Altman’s OpenAI that assesses the ability of AI systems to comprehend, analyse and enhance the security of blockchain smart contracts.
On networks like Ethereum, smart contracts are self-executing scripts that power decentralised apps like exchanges, lending platforms and NFT markets by automating financial transactions.
Vulnerabilities can put user payments worth billions of dollars at risk because these contracts are usually unchangeable once they are deployed. As a result, security audits are becoming an essential part of the infrastructure for decentralised banking.
The goal of EVMbench is to create a uniform standard for evaluating how well AI can support smart contract security.
The architecture was created in partnership with the cryptocurrency investment firm Paradigm and is based on real-world vulnerabilities found through security competitions, audits, and bug bounty programs.
Instead of using theoretical instances, this dataset enables AI models to be tested against actual situations.
The system assesses AI performance in three important areas. Initially, it assesses the capacity to identify weaknesses concealed in contract code.
Secondly, it evaluates AI’s ability to replicate the exploitation of certain vulnerabilities in controlled settings. Thirdly, it evaluates AI systems’ ability to fix flawed code without creating new mistakes or interfering with contract operation.
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