OWASP TOP 10 LLM-01 Prompt Injection

Prompt injection is a vulnerability that occurs when an attacker manipulates the behavior of a trusted Language Model (LLM) through carefully crafted inputs, whether directly or indirectly. This can lead to unintended actions or disclosure of sensitive information. To address prompt injection vulnerabilities, we can implement the following solutions:

Enforcing Privilege Control on LLM Access to Backend System: To prevent unauthorized access and manipulation of backend systems by the LLM, privilege control mechanisms should be enforced. This can be achieved by implementing proper authentication and authorization checks. Here's a simplified example of enforcing privilege control in Python:

Segregating External Content from User Prompts: It's important to isolate external content from user-provided prompts to prevent injection attacks. This can be achieved by sanitizing and validating inputs before they are used in LLM interactions. Here's an example in Python:

Keeping Humans in the Loop for Extensible Functionality: To ensure that potentially risky actions are only taken under human supervision, you can design the system to involve human approval for certain types of tasks. Here's an example using a simple approval mechanism in Python:

Authorization: Authorization checks if the authenticated user has the necessary permissions to perform a specific action.

By understanding and implementing these solutions, you can enhance the security of your LLM applications and mitigate the risks associated with prompt injection vulnerabilities. Keep in mind that security is an ongoing process, and these measures should be adapted to your specific use case and security requirements.