How is this different from Automation Engineering?

Platform Engineering builds the platform your systems run on: the accounts, the networks, the pipelines, the roles. Automation Engineering automates the repeatable work that runs on it. If you are asking who builds the environment, that is this page. If you are asking who automates the evidence collection or the posture checks inside it, that is the other one.

Do you use Terraform?

Usually, and ZuluSec will use what you already have rather than converting you. If your team is on CloudFormation, Pulumi, or Bicep, the discipline matters more than the tool: everything in code, everything reviewed, nothing configured by hand in a console.

Is the code written by AI?

Yes, and it is versioned, tested by an automated test run (CI), and reviewed by a practitioner. See the Automation Engineering page for how that loop works and for a real pull request you can read.

Can this follow an audit?

That is the most common way it starts. The audit findings become the build backlog, and the fixes land as infrastructure code, reviewed by a practitioner, rather than as console changes nobody can reproduce.

Platform Engineering

Infrastructure as code, CI/CD pipelines that build and deploy your systems, and cloud platform buildouts that are secure by construction rather than hardened afterward. Built through review and tests, and yours to keep.

AWSAzureGCPHybrid

This is infrastructure work by people who think like auditors. Everything the platform is made of is defined in code rather than clicked together in a console: least-privilege service roles, hardened baselines, logging on by default. The platform is not secured after it is built; it is built so there is less to secure.

How the work is delivered

The same loop is used everywhere. An engineer states what the platform needs to do and AI helps write the code. That code lands in your repository as a pull request, carrying its tests and a passing automated test run (CI), and a practitioner reviews it. What ships is deterministic and reproducible: the same definition builds the same platform every time rather than depending on who ran it and what they remembered to click. No judgment call is delegated to a model at the moment infrastructure changes.

That matters more for infrastructure than almost anywhere else. A platform change you cannot reproduce is a platform change you cannot roll back, and a console click leaves no diff for anyone to review.

Worked examples of that, down to the code and what a pipeline prints when it stops a change, belong in the field notes rather than on this page.

What you get

✓Infrastructure as code with reusable, review-ready modules

✓CI/CD pipelines with security gates built into the path, not bolted beside it

✓Least-privilege service roles and logging on by default

✓Documentation and handover so your team owns it

FAQ

How is this different from Automation Engineering?: Platform Engineering builds the platform your systems run on: the accounts, the networks, the pipelines, the roles. Automation Engineering automates the repeatable work that runs on it. If you are asking who builds the environment, that is this page. If you are asking who automates the evidence collection or the posture checks inside it, that is the other one.
Do you use Terraform?: Usually, and ZuluSec will use what you already have rather than converting you. If your team is on CloudFormation, Pulumi, or Bicep, the discipline matters more than the tool: everything in code, everything reviewed, nothing configured by hand in a console.
Is the code written by AI?: Yes, and it is versioned, tested by an automated test run (CI), and reviewed by a practitioner. See the Automation Engineering page for how that loop works and for a real pull request you can read.
Can this follow an audit?: That is the most common way it starts. The audit findings become the build backlog, and the fixes land as infrastructure code, reviewed by a practitioner, rather than as console changes nobody can reproduce.

How the engagement works

There are three ways to engage, the same three for every build service, so the choice is about how much you want to do yourselves rather than which product to buy.

Alongside your team

You have engineers and want the pattern established. ZuluSec sets up the structure, builds the first pieces with them, and hands it over with a runbook.

Built for you

You know what it needs to do and have nobody to build it. Every change arrives as a pull request carrying its tests and a green CI run, in your repository and under your license, reviewed by a practitioner.

Kept running

You have nobody to hand it to, so ZuluSec keeps it maintained and current, still in your repository and still auditable. Billed monthly, cancel with notice.

The first two are quoted as one number, agreed in writing. When the size of the job cannot be known up front, an assessment comes first and the build is quoted from its findings, so you commit to the smaller number before the larger one. Keeping it running is a monthly fee, because ongoing work has no end date to price.

Access works the same way whether the work is being built or kept running: you issue the credentials, scoped and authorized in writing, and you revoke them at the end. When the engagement ends, everything stays in your repository. How an engagement works covers the detail.

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