Awesome LLM Security

Overview

A community-curated GitHub repository that aggregates tools, papers, and projects focused on securing large language models. It organizes resources by category such as prompt injection, red teaming, and vulnerability detection.

Best for

Best for
Developers and security engineers evaluating LLM security resources

Use cases

• Find security tools and frameworks for LLM deployments
• Research emerging threats like prompt injection and jailbreaking
• Stay updated on best practices for secure LLM integration

Notes

A community-curated GitHub repository that aggregates tools, papers, and projects focused on securing large language models. It organizes resources by category such as prompt injection, red teaming, and vulnerability detection.

1,599 stars on GitHub. Last updated 2025-08-20.

Use cases

• Find security tools and frameworks for LLM deployments
• Research emerging threats like prompt injection and jailbreaking
• Stay updated on best practices for secure LLM integration

Pros

• Comprehensive, community-maintained list saves research time
• Covers both offensive and defensive security approaches
• Regularly updated with new papers and tools

Cons

• Lacks curated assessments of tool quality or maturity
• No built-in integration or executable code, purely reference
• Can be overwhelming for newcomers without clear guidance

Indexed from awesome-llm and enriched against its public facts.