Smart contracts form the backbone of blockchain applications, but any code vulnerabilities can result in asset losses. To mitigate potential risks, projects typically undergo a security audit before launch. In recent years, artificial intelligence has been increasingly adopted for smart contract security analysis to boost the efficiency of vulnerability detection. Cecuro is a dedicated AI-powered security platform that recently achieved a 91.45% vulnerability detection rate in the EVMBench benchmark, attracting significant industry attention.
(Source: cecuro.ai)
Cecuro is a platform leveraging AI Agent technology to conduct smart contract security audits, designed to help development teams quickly identify code vulnerabilities. Unlike traditional manual audits, Cecuro deploys multiple specialized AI Agents to simultaneously analyze smart contracts, with each finding verified post-analysis to enhance the reliability of vulnerability detection. According to the official site, the platform supports a wide range of blockchain networks and smart contract programming languages.
EVMBench is a smart contract security benchmark created by OpenAI and Paradigm, primarily used to assess the capabilities of AI systems in smart contract security analysis. The benchmark is based on real-world audit cases, featuring 117 vulnerability samples from 40 security reviews, including public bug bounty competitions and purpose-built Stablecoin Layer 1 projects.
EVMBench evaluates AI systems on three core capabilities:
With a unified standard, developers can objectively compare the security analysis performance of different AI solutions.
According to official data, Cecuro achieved a 91.45% vulnerability detection rate on EVMBench, up from the previously reported 87.17%, maintaining its position at the top of the leaderboard. The improvement was not due to larger AI models, but rather optimizations in the collaboration process among AI Agents, resulting in enhanced analysis efficiency and improved vulnerability identification. By comparison, the highest vulnerability detection rate for general large AI models reported by EVMBench authors is 45.6%, highlighting how system design can significantly impact outcomes.
Official sources state that a typical smart contract security audit takes about eight hours. During analysis, the platform deploys approximately 180 AI Agents in parallel, each examining the smart contract from a different perspective. After analysis, each vulnerability is further validated through proof of concept (PoC) and symbolic execution. Only confirmed vulnerabilities are compiled into a formal security report.
As AI technology advances, cyberattack tools are also becoming more sophisticated. According to cited sources, the UK AI Security Institute notes that frontier AI’s cyberattack capabilities are advancing rapidly, while Anthropic reports the proportion of threat actors using AI rose from 33% to 56% in just one year. Chainalysis projects that $3.4 billion in crypto assets will be stolen in 2025, including the Bybit attack in February. These trends underscore the growing importance of smart contract security and automated defense technologies.
Beyond smart contract security analysis, Cecuro provides a comprehensive audit process. According to official information, the platform supports all blockchain networks, accommodates various smart contract languages, offers vulnerability proof of concept (PoC), supports free trials, and provides security audit reports starting at $799. By leveraging AI-driven automated analysis, Cecuro aims to significantly reduce the time required for traditional security audits.
Cecuro is an AI platform dedicated to smart contract security audits, utilizing multiple AI Agents for collaborative analysis and validating vulnerabilities with proof of concept and symbolic execution. In the EVMBench benchmark by OpenAI and Paradigm, Cecuro reported a 91.45% vulnerability detection rate, showcasing the potential of AI in smart contract security analysis. As blockchain adoption grows and cyberattack tools become increasingly AI-driven, the importance of smart contract security continues to rise. AI and automated security auditing technologies are expected to become essential components of the Web3 ecosystem.
A: Cecuro is a platform that uses AI Agent technology to perform smart contract security audits, enabling developers to automatically analyze code and uncover potential vulnerabilities.
A: EVMBench is a smart contract security benchmark developed by OpenAI and Paradigm, used to evaluate the ability of AI systems to detect, fix, and verify smart contract vulnerabilities.
A: Cecuro deploys multiple AI Agents to analyze smart contracts in parallel and combines vulnerability proof of concept (PoC) with symbolic execution to validate issues, reducing the time required for manual audits and enhancing the accuracy of vulnerability detection.





