OpenShield
A new generation security layer for AI models
Listed in categories:
Artificial IntelligenceSecurityGitHub
Description
OpenShield is a firewall designed specifically for AI models, providing essential security features to protect against various attack vectors. It offers rate limiting, content filtering, and keyword filtering to ensure the integrity and safety of AI interactions.
How to use OpenShield?
To use OpenShield, set up your environment by modifying the env file with your OpenAI and HuggingFace API keys. Build and run the application using Docker, and you can start testing with the demo data provided.
Core features of OpenShield:
1️⃣
Rate limiting per user
2️⃣
Content filtering
3️⃣
Keyword filtering
4️⃣
Tokenizer calculation for OpenAI models
5️⃣
Integration with OpenMeter and VectorDB
Why could be used OpenShield?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Protecting AI models from malicious inputs and attacks | ✅ | |
| # 2 | Ensuring secure interactions with AI models in production environments | ✅ | |
| # 3 | Managing and monitoring API usage effectively | ✅ | |
Who developed OpenShield?
OpenShield is developed by a dedicated team focused on enhancing AI security. They are committed to providing tools and resources to protect AI models from emerging threats.