How Exposed Endpoints Increase Risk Across LLM Infrastructure

As organizations increasingly deploy self-hosted Large Language Models (LLMs), the expansion of internal services and APIs to support these models has inadvertently broadened the attack surface, shifting security concerns from the models themselves to their supporting infrastructure. This trend underscores the need for enhanced security measures around the infrastructure that connects, automates, and manages LLM endpoints, as each additional endpoint introduces new vulnerabilities that could be exploited by malicious actors.