Most posts about deploying managed LLMs focus on what model to pick. That is a ten-minute decision. The hard parts — the parts that decide whether a deployment survives an audit — are tenancy, identity, key management, region pinning and the shape of your data flow.
Tenancy
By default, managed LLM endpoints live inside the cloud account you provisioned them in. For most enterprises that's fine, but for regulated workloads — financial services, healthcare, anything with personal data classified at high sensitivity — you want a dedicated cloud account per business unit, with policy-as-code enforcing which models can and cannot be deployed there.
We've seen single-account deployments work until they didn't. The moment a second team needed a different model approval status, the entire compliance posture had to be re-evaluated. A per-tenant account design avoids that whole class of problem.
Region pinning is not just about latency
Region pinning is usually framed as a latency decision. For regulated workloads it is a data-residency decision, and the two often pull in different directions. Some models are only available in regions your residency policy excludes. Some preview features land in regions your auditors haven't approved yet.
Pinning is a policy decision. Latency is what's left over after policy.
Our default at Aicomlogic is EU-resident inference for EU workspaces, with another approved region as the fallback only when explicitly contracted. That means we sometimes wait a quarter for a new model to reach a region we can use. It also means our customers' DPOs don't have unpleasant Monday mornings.
Identity and keys
Two things you want from day one: managed workload identities for every service-to-service call, and customer-managed keys for storage. Managed identities remove the entire class of bug where a secret leaks into a log. CMK gives you a kill switch — if you ever need to disprove access to a dataset, the audit story is much cleaner when the key was always under your control.
Pick a cloud key vault that makes CMK affordable rather than aspirational. Soft delete and purge protection are non-optional. We've also seen teams skip BYOK for object storage and regret it the moment they had to answer a data-subject deletion request that involved frozen archives.
Private networking
- Private endpoints for model inference, retrieval, object storage and Postgres.
- No public network ingress on any data plane resource.
- Egress through a managed firewall with logged rules — auditors will ask.
- DNS resolution through a private zone so nothing accidentally leaks out via public endpoints.
None of that is exotic — it is standard cloud landing-zone hygiene. What catches teams is that it has to be in place before the first proof of value ships. Retro-fitting private networking after a successful pilot is much harder than building on top of it from day one.
The shape of your data flow
The single most useful thing we did was write a one-page data-flow diagram early. Where the prompt is composed. Where retrieval runs. Where the model is called. Where the response is logged. Where the tool calls go. Where the audit trail lives. If you can fit that on one page and every box is in a region your DPO approves, you are most of the way through your readiness review already.
Published Mar 30, 2026 by Giampaolo Marzetti.