How to Securely Deploy LLMs on Enterprise Infrastructure

Protecting IP in the AI Era

Sending confidential intellectual property, codebases, or customer records to public AI APIs creates security risks. Enterprises need isolated, compliant deployment pipelines.

Deployment Models compared

• Private Cloud VPC: Host open-weight models (like Llama 3 or Mistral) on dedicated GPU instances (AWS/Azure) within your virtual private network.
• On-Premise Deployments: Run models on local physical hardware for maximum data sovereignty.

Establishing secure, private LLM pipelines allows enterprises to leverage AI without risking data exposure.