Comprehensive Guide to Large Language Model (LLM) Security
Summary
A detailed guide covering LLM security risks, including prompt injection and data poisoning, alongside mitigation strategies, regulatory frameworks like the EU AI Act, and security tools.
Key quotes
LLM security encompasses the protective measures implemented to safeguard the algorithms, data, and infrastructures supporting Large Language Models (LLMs) from unauthorized access and malicious threats.
The article provides a technical and regulatory overview of securing LLMs, referencing the OWASP Top 10 and MITRE ATLAS frameworks. It details specific attack vectors and suggests a multi-layered defense strategy.