How to Put Guardrails Around Containerized LLMs on Kubernetes

As large language models (LLMs) grow increasingly integral to enterprise applications, it becomes paramount to deploy them securely. Common threats, such as prompt injections, can lead to unintended behaviors, data breaches or unauthorized access to internal systems. Traditional application-level security measures, while valuable, are often insufficient to protect LLM endpoints.

Containerization can help address these challenges. By wrapping LLMs and their supporting components in containers, organizations can enforce strict security…