How I Built an Open-Source LLM Security Library in Python (and What I Learned About Prompt Injection)

1. 1Build a Python library to handle LLM security using open-source tools
2. 2Run vulnerability tests to identify potential prompt injection attacks
3. 3Configure your LLM app to use the security library and prevent attacks
4. 4Test the library with different LLM models like GPT-4 or Claude
5. 5Apply security best practices to your LLM integration
6. 6Compare the security of your LLM app before and after implementing the library

Developers and security teams working with LLMs can benefit from this knowledge to ensure the security of their applications

💡 Prompt injection attacks can compromise the security of LLM apps, but a well-designed security library can prevent these attacks

🚨 Protect your LLM app from prompt injection attacks! 🚨 Learn how to build an open-source security library in Python