Technical Deep Dive
Details of ModelTrust's analysis layers, scoring system, and architecture.
Analysis Layers
ModelTrust analyzes the reliability of an AI model across multiple layers.
The model's origin, license, documentation, and data sources are examined.
Model files are scanned for vulnerabilities and malicious code.
The model is run in an isolated environment and subjected to behavioral tests.
Scoring System
Data from each analysis layer is combined to generate a trust score from 0-100.
| Category | Weight | Description |
|---|---|---|
| Transparency | 25% | Clarity of the model's documentation and license information. |
| Maintenance | 25% | The model's update frequency and community support. |
| Security | 30% | Detected vulnerabilities and potential for malicious code. |
| License | 20% | The suitability of the license for commercial use. |
MVP Architecture
The platform is built on a modern architecture for reliability and scalability.
- Frontend: PHP and Bootstrap for a dynamic and responsive user interface.
- Backend: PHP for business logic and database operations.
- Database: SQLite for model information and analysis results.
- Analysis Engine: Custom Python-based tools for security scans.
Related Pages