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📢GoPlus #DeepScan Comprehensive Upgrade: A New Paradigm of AI-Powered Smart Contract Security.
Smart contracts hold funds — and hackers are already using AI to uncover deep-layer vulnerabilities. One-time audits can no longer keep pace with today's attack-defense dynamics. The industry must evolve toward AI-powered, continuous security: higher efficiency, lower cost, full-lifecycle protection.
GoPlus DeepScan delivers three interconnected modules forming a closed-loop, continuous security service for the entire smart contract lifecycle: AI Contract Audit, Continuous Security Monitoring, and Token Security Self-Check.
Features
AI Auditing
AI-powered deep analysis of contract source code, permission management, and business logic. Systematically detects syntax vulnerabilities and business-logic flaws, and delivers a structured audit report — including security scores, key findings, issue details, and remediation recommendations.
Security Monitoring
Post-audit, always-on assurance for live contracts. Tracks newly disclosed vulnerabilities, on-chain attacks, and status changes in external dependencies (oracles, cross-chain bridges) in real time. AI continuously assesses impact, triggers targeted re-reviews, and issues alerts — moving beyond the "audit as finish line" model.
Token Security Checking
A rapid pre-launch self-inspection tool for tokens preparing to launch or list. Identifies common high-risk characteristics in minutes, including: Honeypot detection, Malicious mint detection, Blacklist mechanism detection, Abnormal buy/sell tax detection, Owner privilege & trading restriction risks.
Benchmark
An open-source benchmark built from real-world attack incidents. Extracts vulnerable contract source code from attacked projects to systematically evaluate AI capabilities in vulnerability identification, attack-path understanding, contextual reasoning, and audit stability. Nearly 100 real, representative attack cases from May 2025 to date, continuously updated.
Use Cases
Developers — Cost-effective, high-efficiency security scanning with audit-grade quality, enabling fast, confident innovation.
Project Teams — Pre-launch scanning as a complement to traditional audits; continuous auditing and monitoring during operations to stay ahead of attackers.
Exchanges — Enhanced pre-listing security review efficiency and capability; continuous monitoring as routine risk control to catch new threats early and minimize post-listing incidents.
Get Started
GoPlus DeepScan is live — try it now: **deepscan.gopluslabs.io**
AI Auditing Benchmark: github.com/GoPlusSecurity…
Smart contracts hold funds — and hackers are already using AI to uncover deep-layer vulnerabilities. One-time audits can no longer keep pace with today's attack-defense dynamics. The industry must evolve toward AI-powered, continuous security: higher efficiency, lower cost, full-lifecycle protection.
GoPlus DeepScan delivers three interconnected modules forming a closed-loop, continuous security service for the entire smart contract lifecycle: AI Contract Audit, Continuous Security Monitoring, and Token Security Self-Check.
Features
AI Auditing
AI-powered deep analysis of contract source code, permission management, and business logic. Systematically detects syntax vulnerabilities and business-logic flaws, and delivers a structured audit report — including security scores, key findings, issue details, and remediation recommendations.
Security Monitoring
Post-audit, always-on assurance for live contracts. Tracks newly disclosed vulnerabilities, on-chain attacks, and status changes in external dependencies (oracles, cross-chain bridges) in real time. AI continuously assesses impact, triggers targeted re-reviews, and issues alerts — moving beyond the "audit as finish line" model.
Token Security Checking
A rapid pre-launch self-inspection tool for tokens preparing to launch or list. Identifies common high-risk characteristics in minutes, including: Honeypot detection, Malicious mint detection, Blacklist mechanism detection, Abnormal buy/sell tax detection, Owner privilege & trading restriction risks.
Benchmark
An open-source benchmark built from real-world attack incidents. Extracts vulnerable contract source code from attacked projects to systematically evaluate AI capabilities in vulnerability identification, attack-path understanding, contextual reasoning, and audit stability. Nearly 100 real, representative attack cases from May 2025 to date, continuously updated.
Use Cases
Developers — Cost-effective, high-efficiency security scanning with audit-grade quality, enabling fast, confident innovation.
Project Teams — Pre-launch scanning as a complement to traditional audits; continuous auditing and monitoring during operations to stay ahead of attackers.
Exchanges — Enhanced pre-listing security review efficiency and capability; continuous monitoring as routine risk control to catch new threats early and minimize post-listing incidents.
Get Started
GoPlus DeepScan is live — try it now: **deepscan.gopluslabs.io**
AI Auditing Benchmark: github.com/GoPlusSecurity…
