AI Security Agents
Meet the advanced AI systems that power our smart contract security analysis. Each agent specializes in different aspects of security, working together to provide comprehensive vulnerability detection.
Our AI Security Team
OpenAI GPT-4
Primary Security Analyzer
Specialization
Comprehensive vulnerability detection and code analysis
Performance
Key Strengths
- ✓Advanced pattern recognition for complex vulnerabilities
- ✓Natural language explanation of security issues
- ✓Contextual understanding of business logic flaws
Core Capabilities
Deepseek Coder
Code Structure Specialist
Specialization
Architectural analysis and dependency security
Performance
Key Strengths
- ✓Deep architectural pattern analysis
- ✓Dependency vulnerability detection
- ✓Code quality and maintainability assessment
Core Capabilities
Mistral
Economic Security Validator
Specialization
Economic attack vectors and incentive analysis
Performance
Key Strengths
- ✓Game theory and incentive mechanism analysis
- ✓Economic attack vector identification
- ✓Token economics security validation
Core Capabilities
ZerePy
Sonic Network Expert
Specialization
Sonic blockchain-specific optimizations and security
Performance
Key Strengths
- ✓Sonic-specific vulnerability patterns
- ✓Network optimization recommendations
- ✓Sonic Opera compatibility analysis
Core Capabilities
LineaLens
Linea Network Expert
Specialization
Linea-specific security patterns and optimizations
Performance
Key Strengths
- ✓Linea EVM implementation specifics
- ✓zkEVM security considerations
- ✓Linea bridge security analysis
Core Capabilities
How Multi-AI Analysis Works
Our revolutionary approach combines multiple AI models to achieve unprecedented accuracy in smart contract security analysis.
Parallel Analysis
Each AI model analyzes the contract independently, bringing unique perspectives and specialized knowledge.
Cross-Validation
Findings are cross-referenced between models to eliminate false positives and confirm real vulnerabilities.
Consensus Building
Models "discuss" findings through advanced consensus algorithms to reach agreement on severity and recommendations.
Unified Report
Final analysis combines insights from all models with confidence scores and actionable remediation steps.
Interactive AI Demo
Click "Watch AI Demo" above to see our multi-AI system in action analyzing a smart contract.
AI Analysis Workflow
Each step of our analysis employs specialized AI techniques. The entire process typically takes 20-45 seconds depending on contract complexity.
AI Analysis Agents
AI Consensus Simulation
🤝Multi-AI Consensus Analysis
AI Consensus Strength:
5 AI Models Analyzed
AI Model Comparison
Select Models to Compare
Select Models to Compare
Choose 2 or more AI models above to see detailed performance comparisons
💡Comparison Tips
- • Network-specific models (ZerePy, LineaLens) show higher accuracy on their target networks
- • Speed varies based on analysis depth - faster isn't always better for security
- • Coverage indicates the number of vulnerability types each model can detect
- • Combining multiple models provides the most comprehensive analysis
AI Knowledge Base
Explore what our AI models know and can detect. Search through vulnerability types, best practices, and AI capabilities.
Reentrancy Attacks
External calls that allow malicious contracts to re-enter functions
Common Examples:
- CEI pattern violations
- Cross-function reentrancy
- Read-only reentrancy
Prevention:
Use checks-effects-interactions pattern and reentrancy guards
Detected by:
Integer Overflow/Underflow
Arithmetic operations that exceed variable limits
Common Examples:
- Unchecked math operations
- SafeMath missing
- Type casting issues
Prevention:
Use SafeMath library or Solidity 0.8+ built-in overflow protection
Detected by:
Access Control Issues
Functions missing proper authorization checks
Common Examples:
- Missing onlyOwner modifier
- Role-based access bugs
- Privilege escalation
Prevention:
Implement proper role-based access control with OpenZeppelin
Detected by:
Gas Optimization Issues
Inefficient code patterns that waste gas
Common Examples:
- Unnecessary storage reads
- Loop optimizations
- Packing structs
Prevention:
Follow gas optimization best practices and use efficient data structures
Detected by:
Oracle Manipulation
Vulnerabilities in external data feeds
Common Examples:
- Price oracle attacks
- Flash loan manipulation
- MEV exploitation
Prevention:
Use multiple oracles, implement time delays, and sanity checks
Detected by:
Bridge Security Issues
Cross-chain bridge vulnerabilities
Common Examples:
- Double spending
- Message replay attacks
- Validator collusion
Prevention:
Implement proper validation, timeouts, and multi-sig requirements
Detected by:
📚Additional Resources
AI Performance Metrics
Real-time monitoring of AI model performance and system health
AI Model Performance
| Model | Accuracy | Avg Speed | Reliability | Coverage | Trend | Status |
|---|---|---|---|---|---|---|
OpenAI GPT-4 | 94% | 8.2s | 98.7% | 250 types | 📈 | Optimal |
Deepseek Coder | 91% | 6.1s | 96.3% | 180 types | 📈 | Optimal |
Mistral | 89% | 12.4s | 94.8% | 85 types | ➡️ | Good |
ZerePy | 96% | 5.3s | 99.1% | 120 types | 📈 | Optimal |
LineaLens | 93% | 7.8s | 97.2% | 95 types | 📈 | Optimal |
🏥System Health
⚠️Recent Alerts
📊Performance Insights
Technical Architecture
Lightning Fast
Parallel processing enables analysis completion in 20-45 seconds, regardless of contract complexity.
- • Concurrent AI execution
- • Optimized model loading
- • Smart caching layers
High Accuracy
Multi-model consensus reduces false positives by 85% compared to single-model approaches.
- • Cross-validation algorithms
- • Confidence scoring
- • Specialized model training
Continuous Learning
Models are continuously updated with new vulnerability patterns and attack vectors.
- • Real-time pattern updates
- • Community feedback integration
- • Exploit database sync
Experience AI-Powered Security
Ready to see how our AI agents can secure your smart contracts? Try our advanced analysis tools today.