Ledger
The industry-standard hardware security layer for critical digital asset custody and DeFi interaction.
Enterprise-Grade AI Auditing for Smart Contract Vulnerability Detection and Web3 Security.
NeuroScan AI is a sophisticated security platform utilizing a hybrid architecture of Large Language Models (LLMs) and Formal Verification engines to secure the Web3 ecosystem. By 2026, it has established itself as the premier solution for real-time smart contract auditing, leveraging proprietary neural networks trained on over 5 million verified and exploited contracts. The system performs deep static and dynamic analysis to identify complex logic flaws, reentrancy vulnerabilities, and flash-loan attack vectors that traditional scanners overlook. Its technical core integrates Abstract Syntax Tree (AST) parsing with symbolic execution to simulate transaction outcomes in a sandboxed environment. Positioned at the intersection of Cybersecurity and Decentralized Finance, NeuroScan AI provides developers and institutional investors with an automated 'Security-as-a-Service' layer, drastically reducing the cost and time of manual audits. The platform's 2026 roadmap emphasizes 'Cross-Chain Dependency Mapping,' allowing users to visualize how a vulnerability in one protocol might cascade through integrated liquidity pools across EVM and non-EVM chains.
Mathematically proves the correctness of contract logic by exploring all possible execution paths.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Generates secure, optimized code snippets to replace identified vulnerable code blocks.
Detects obfuscated malicious logic designed to trap user funds in deceptive contracts.
Maps inter-contract calls across different blockchain networks to find systemic risks.
Converts complex bytecode errors into human-readable executive summaries using specialized LLMs.
Applies rigorous mathematical logic to critical state-changing functions without the overhead of full formal audits.
Identifies non-standard patterns that could lead to excessive gas consumption or 'Gas Limit' DoS attacks.
Ensuring new tokens listed on a launchpad are not honeypots or malicious contracts.
Registry Updated:2/7/2026
Developers accidentally introducing reentrancy bugs during protocol upgrades.
Funds need to verify the safety of a high-yield vault before depositing millions.