Owasp Llm Top10

What it does

This skill helps mitigate risks associated with Large Language Model (LLM) applications, based on the OWASP Top 10 LLM Security Risks. It provides guidance and checks to address vulnerabilities like prompt injection, data leakage, denial of service, and insecure output handling. The skill aims to improve the security posture of AI agents interacting with LLMs by identifying and addressing potential weaknesses.

When to use it

• Developing a new AI agent: Integrate this skill early in development to proactively identify and address security risks.
• Reviewing existing AI agent prompts: Use it to assess current prompts for vulnerabilities outlined in the OWASP Top 10.
• Troubleshooting unexpected LLM behavior: When an LLM exhibits unusual or potentially harmful responses, leverage this skill to investigate underlying security issues.
• Ensuring compliance with security best practices: Implement this skill as part of a broader effort to adhere to industry-standard LLM security guidelines.

Key capabilities

• OWASP Top 10 LLM Risk Coverage: Addresses the ten most critical risks identified by OWASP for LLM applications.
• Prompt Analysis: Examines prompts for potential vulnerabilities like prompt injection and insecure data handling.
• Output Validation: Checks generated output for harmful content or sensitive information leakage.

Example prompts

• "Analyze this prompt for security vulnerabilities: 'Write a poem about cats.'"
• "Review the following conversation log for any signs of prompt injection attacks."
• "Assess this AI agent's response to user input for potential data leakage."

Tips & gotchas

The OWASP Top 10 LLM risks are constantly evolving. Regularly update and re-evaluate your prompts and configurations using this skill to remain protected against emerging threats.