Security

Local LLMs for Security vs Securing Context with Public LLMs

As enterprises embed large language models into automation, compliance, and platform engineering workflows, security becomes a trust-boundary problem—not a tooling choice. This article examines the real trade-offs between running local LLMs for data isolation and using public LLMs with carefully secured context, drawing on production architecture patterns, operational risks, and regulatory realities that engineering teams face today.