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Keep assistant traffic in AI Gateway without opening private networks

You’re the solutions / forward deployed engineer. Your team is in the room. Printed Oct 19, 2026.

The internal assistant needs private knowledge without inheriting broad private-network access.

A reusable deployment kit must protect retrieval boundaries while giving administrators enough evidence to operate the assistant.

Who you’d be doing this for

“Everyone wants the assistant live, but I still need to know what it can reach.”

Georgia Greco · Network Security Administrator

Sets access policy and audit expectations for an internal AI assistant used by distributed employees.

What is at stake

The customer has no single operating pattern for AI access, model traffic, and private retrieval data. You must weigh a reusable narrow kit against pressure to support every internal tool in the first pilot.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • rapid AI pilot vs private retrieval boundaries
  • customer flexibility vs reusable kit scope
  • rich tool access vs least privilege
  • prototype speed vs customer-operated durability

Why Cloudflare

Cloudflare Access, AI Gateway, Workers, and Cloudflare R2 can form one deployable boundary around an internal assistant’s access and retrieval path.

Written with these in mind

forward deployed AI engineersecurity-focused solutions architectplatform integration builder

Not your kind of problem? 90 more at Cloudflare, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.