April 2025 · 6 min read

Control Tower vs. Custom Landing Zones: How to Decide

This question comes up in almost every engagement. A company is either starting fresh on AWS or staring at a single-account mess they've outgrown, and someone on the team has heard of Control Tower. The question is always the same: should we use it, or build our own?

Having deployed both — Control Tower for a 5G network with 10 million endpoints, and custom CloudFormation-based landing zones for AI startups that needed to move faster than Control Tower allows — the answer is genuinely "it depends." But not in the hand-wavy way people usually mean that.

When Control Tower is the right call

Control Tower is opinionated, and that's its strength. It gives you a pre-built OU structure, a set of guardrails (SCPs and Config rules), an account factory for provisioning new accounts, and a dashboard to see compliance status across the org. If you're a team that doesn't have deep AWS Organizations experience and you need a multi-account setup that's reasonably secure out of the box, Control Tower gets you there fast.

It's particularly good when:

On one engagement, we used Control Tower to automate a landing zone across multiple regions for a telecom provider. The account factory alone saved weeks of work — spinning up new workload accounts with the right SCPs, Config rules, and logging already attached. When you're managing 14 engineers and the scope is massive, that kind of consistency matters.

When custom makes more sense

Control Tower has opinions about how your org should be structured, and sometimes those opinions don't match your reality. The OU hierarchy it creates isn't always what you need. The guardrails it ships with are a good baseline, but if you're in a heavily regulated space — GxP, HIPAA with specific Bedrock logging requirements, or you need AI-specific opt-out policies — you'll end up customizing so much that Control Tower becomes scaffolding you're working around rather than with.

We recently built a landing zone for a regulated multi-tenant AI SaaS platform using pure CloudFormation. Sixteen templates covering everything from org structure to Bedrock invocation logging to WAF policies. The reason we went custom: they needed AI opt-out policies, Macie for data classification, Bedrock-specific logging, and a compliance posture that mapped directly to SOC 2 and HIPAA — none of which Control Tower handles natively.

Custom also makes sense when:

The hybrid approach nobody talks about

On several engagements, we've used Control Tower as the foundation and then layered custom automation on top. Control Tower handles the baseline — account provisioning, basic guardrails, centralized logging. Then we deploy additional SCPs via a separate Terraform pipeline, add custom Config rules with auto-remediation, and build out security tooling (WAF pipelines, Security Lake, golden image factories) independently.

This gives you the best of both: AWS-managed baseline that stays current, plus the flexibility to go deeper where your compliance requirements demand it.

The real question to ask

Don't start with "Control Tower or custom?" Start with "What does our compliance framework require, and how many accounts do we need to manage?" If the answer is "SOC 2 basics and under 10 accounts," custom CloudFormation or Terraform is probably simpler. If it's "NIST 800-53 across 50 accounts with automated account provisioning," Control Tower with customization is hard to beat.

Either way, the landing zone is the foundation everything else sits on. Getting it wrong means retrofitting security controls into a running production environment — which is roughly as fun as it sounds.

Need help deciding? We've deployed both approaches across regulated industries.

Let's talk about your landing zone