An agentic operating system (agentic OS, or AOS) is the operating model a business runs on when AI agents—not just people or scripts—do the work: a coordinated layer of agents, shared context, guardrails, evaluations, and orchestration that turns one-off AI experiments into a system that ships real business outcomes on repeat.

Large Language Models (LLMs) have become indispensable tools for businesses, but a key concern persists: How do you ensure your private or proprietary data isn’t used to train these models? This guide covers the most notable LLMs, their policies, and actionable steps to safeguard your data. Links to turn off data training for each tool are provided for easy access.