LLM Security: Protecting Models, RAG & Data Pipelines
Summary
A guide to securing large language models, covering the OWASP Top 10 for LLM Applications and best practices for protecting the AI lifecycle.
Key quotes
LLM security is a full-stack discipline that protects models, data pipelines, infrastructure, and interfaces throughout the entire AI lifecycle.
The document details specific vulnerabilities such as prompt injection, training data poisoning, and model theft. It advocates for AI-Security Posture Management (AI-SPM) to gain visibility into AI assets.