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LLM Security Playbook

A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.

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LLM Security Playbook

LLM Security Playbook

This project serves as a definitive guide for developers and security engineers working with LLMs. It covers:

  • Prompt Injection: Detection and mitigation strategies.
  • Data Leakage: Prevention of sensitive information exposure.
  • Model Theft: Protecting intellectual property.
  • Supply Chain Security: Verifying model weights and datasets.

The playbook is regularly updated with the latest research findings and CVEs related to AI systems.