GoPlus DeepScan Comprehensive Upgrade: Launch of AI-Driven Smart Contract Security Lifecycle Protection System

On August 18, the official announcement revealed a comprehensive upgrade of DeepScan, introducing an AI-based smart contract security solution. It stated that as hackers begin to leverage AI to exploit deeper contract vulnerabilities, the traditional security model of "one-time audit, go live and done" is no longer sufficient to cope with the continuously evolving attack risks. DeepScan constructs a complete security loop around the entire lifecycle of smart contracts, consisting of AI contract auditing, continuous security monitoring, and Token security self-checks, providing ongoing security assurance for developers, project teams, and trading platforms.

Among these, AI contract auditing can deeply analyze contract source code, permission management, and business logic based on AI, identifying security risks such as syntax vulnerabilities and business logic flaws, and outputting a structured audit report that includes security ratings, key findings, problem details, and remediation suggestions. Continuous security monitoring targets contracts that are already live and have been audited, tracking newly disclosed vulnerabilities, on-chain attack events, and changes in external dependencies such as oracles and cross-chain bridges in real-time, using AI to determine whether the project is affected, and conducting timely reviews and alerts. Token security self-checks are aimed at projects that are about to launch or apply for listing, quickly detecting risks such as honeypots, malicious issuance permissions, blacklist mechanisms, abnormal transaction taxes, owner permissions, and transaction restrictions.

In addition, the DeepScan team has released an open-source Benchmark dataset built on real smart contract attack events, used to assess AI's actual capabilities in vulnerability identification, attack path understanding, contextual reasoning, and audit stability. Currently, it has recorded nearly a hundred typical attack events from May 2025 to the present and continues to update. It stated that DeepScan can be used for low-cost security scanning by developers, security reviews before project launches, and continuous monitoring during operations, while also serving as a supplement for security assessments before listing on trading platforms, helping all parties to identify new vulnerabilities and attack risks more promptly.

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