SmartGuard AI Audits

Problem & Solution

Smart contract vulnerabilities can lead to catastrophic losses of user funds. While traditional auditing tools exist, they often focus solely on Solidity and have significant limitations. Smart Guard AI takes a novel approach using a multi-agent AI system to provide more comprehensive and adaptable security analysis.

Key Features

Multi-Platform Support

• Multiple smart contract languages supported:
  • Arbitrum Stylus
  • Starknet Cairo
  • Flow Cadence
  • Solidity

Flexible Input Methods

• Load contracts directly from GitHub URLs
• Upload from local filesystem
• Paste code directly
• Browse pre-defined contract examples

Advanced AI Analysis

• Pure AI approach using chain of LLM agents
• Specialized security agents for different vulnerability types
• No reliance on traditional static analysis tools
• Custom prompts and context for each agent type

User Experience

• Intuitive web interface with customization options
• 24/7 AI assistant support
• Comprehensive audit reports with export options (PDF, JSON, Email)
• Historical audit retrieval via Nillion secret vault

AI System Architecture

• Multi-Agent Orchestration
• Specialized Security Agents:
  • Code Fixing
  • Format and Deduplication
  • Reentrancy Analysis, Access Control, Logic Verification, other
• Flexible Agent Client with multi-model support

Future Possibilities

• Multi-contract analysis capabilities
• Enhanced domain-specific AI training
• Custom AI model development
• Block explorer and IDE integrations
• Decentralized agent backend implementation

What Makes Us Different

While the smart contract security space has existing AI solutions, we believe in the power of diverse approaches. This platform stands out through:

1. Multi-language support beyond just Solidity
2. Pure AI approach without traditional static analysis
3. Decentralized report storage via Nillion
4. Customizable analysis parameters
5. User-centric design focused on accessibility

ETHGlobal Agentic Hackathon 2025. May your smart contracts be safer than ever!

👉 https://contract-audit-ui-production.up.railway.app/

Backend Core: Rust, Cargo Framework: Actix Web Deployment: Shuttle Dev Storage: Nillion Secret Vault

Frontend Framework: Next.js Styling: TailwindCSS Deployment: Railway

The Rust "agentic" backend communicates with the NextJS frontend via a web server hosted in a remote Docker container. The backend invokes OpenAI models when auditing or fixing the contracts on request. This project also uses Nillion Secret Vault to store and retrieve generated audit reports in a secret and decentralized fashion.