Free Lesson
Run AI inside your perimeter, and prove it stayed there
30 min
Sep 17, 2026 11:00 AM
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What you'll learn
Size what you can run on hardware you already own
Model capability by memory tier, stated honestly, including where the gap to frontier APIs still matters.
Prove nothing left the machine during inference
Watch a network monitor during a real query. This is the check almost no deployment actually runs.
Turn a blocked project into a list of technical controls
Egress, retention, training on your inputs, subprocessors. Each objection has a specific answer you can name.
Why this topic matters
Two things changed since your organization decided this was impossible. Models small enough to self-host got good, and waiting stopped being free. The alternative to a sanctioned path is not that staff stop using AI, it is that
they use consumer tools on their own phones with your data in them. The objection that stopped you was never about AI. It was about one deployment model, which is a solvable engineering problem.
