Security Checklist

Automation is mostly the act of connecting systems that were never designed to talk to each other. Every connection is a door. Here’s what to check before you open one.

The fastest way to create a security problem is to connect two tools in a hurry. Each integration hands one system access to another, and most of them ask for far more than they need. Before you wire anything together, this is the checklist we run.

Access scopes: grant the least you can

Most integrations request broad access by default because it’s easier for the vendor, not because the workflow needs it. Push back. Grant read-only access where you can, scope tokens to the specific resources involved, and review what each connection can actually reach.

Secrets and credentials

API keys and tokens are the keys to the building. Treat them that way. They should never sit in plain text, in code, or in a shared spreadsheet.

Logging and auditability

When something goes wrong, and eventually it will, you need to see what happened. Good logging is the difference between a five-minute fix and a five-day investigation.

Data retention and residency

Just because you can store data doesn’t mean you should. Every piece of data you keep is a piece of data you have to protect.

Every integration is a door. The goal isn’t to avoid opening doors, it’s to know exactly which ones are open and what’s behind each one.

Where sensitive data is allowed to flow

Map the path your sensitive data takes before you automate anything that touches it. Personal, health, or financial data should only reach systems explicitly allowed to receive it. This matters most with AI: be deliberate about what leaves your boundary and enters a model, and confirm how that provider handles it.

The pre-launch checklist

Before any automation goes live, confirm:

Security isn’t a phase you bolt on at the end. It’s a set of defaults you build in from the very first connection.

What do you think?

From our blog

Articles & insights

We are witnessing a fundamental shift in business logic. Autonomous agents are no longer just tools; they are the new infrastructure that turns static processes
A clear decision framework for when an off-the-shelf tool is enough, and when reliable automation needs custom integration.
How to track automation impact using cycle time, quality, and error-rate signals instead of vanity metrics.