Protect AI and LLM Models

AI models, particularly large language models (LLMs), rely heavily on external libraries to enhance their functionality, streamline development, and achieve cutting-edge performance. However, these libraries come with significant security supply chain risks, especially in open-source environments, where vulnerabilities and deliberate backdoors can be present. 
One of the most pressing threats is the unintentional integration of a malicious package into an LLM framework.

In 2023, several vulnerabilities were discovered in popular AI libraries such as LangChain and Auto-GPT, exposing potential vectors for remote code execution, privilege escalation, and even arbitrary file manipulation. When an LLM uses such compromised libraries, attackers can exploit these security gaps to access sensitive data, hijack computational resources, or launch a supply chain attack, endangering every user of that model.

Examples of Real Threats: