# Detection Strategies

This section covers various approaches for detecting and preventing prompt injection attacks. Our detection framework considers multiple layers of defense across the AI interaction lifecycle.

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:caption: Detection Strategies

detection-overview
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## Upcoming Detection Strategy Guides

The following detection strategy guides are under development and will be added soon:

- Input Detection Strategies
- Output Detection Strategies
- Integrated Defense Approach

## Detection Philosophy

Effective defense against prompt injection requires a multi-layered approach that addresses vulnerabilities at different stages:

1. **Input Screening**: Analyzing user inputs before they reach the AI model
2. **Runtime Monitoring**: Detecting potential exploits during processing
3. **Output Filtering**: Examining responses for signs of successful attacks
4. **Integrated Approaches**: Combining multiple techniques for robust defense

Each strategy offers different advantages in terms of effectiveness, computational cost, and maintenance requirements. A comprehensive defense system typically employs multiple strategies in combination.