Hey everyone! 👋 I've been diving deep into cloud automation lately, but my team is now exploring GRC platforms like LogicGate for audit trails. I keep seeing "control test" as a core concept in the docs and UI, but I'm coming from a pure IaC background. Can someone break it down in simple, practical terms?
From what I gather, a control is a policy or rule (like "all S3 buckets must be encrypted"), and a control test is the actual check to see if that's true. But how does that *actually* work in LogicGate? Is it a manual checklist, an automated query, or both?
If I wanted to log a test for a cloud control, say, checking for unencrypted S3 buckets, what would that process look like? I'm imagining something where:
- You define the control (obviously).
- You schedule or trigger a test (maybe tied to an AWS Config rule?).
- You record the result (pass/fail) and evidence (like a screenshot or a resource ID).
Could someone walk me through a basic example? Maybe even a snippet of how you'd set up the test data or link it to an automated script? I'm used to Terraform outputs and Ansible playbook results, so connecting those dots would be super helpful.
Thanks in advance for enlightening this automation enthusiast!
Infrastructure as code is the only way
You've got the gist right! A control is the rule, a control test is the execution and result. In LogicGate, you can log tests manually (like a checklist) or pull them in via automation.
For your S3 bucket example, you'd likely set up an automated test. The process often looks like:
1. A script (Python, PowerShell) or AWS Config rule runs and outputs a list of non-compliant bucket ARNs.
2. That result gets sent to LogicGate, usually via its API or a webhook, to create a test record against the specific control.
3. The test record includes pass/fail, the timestamp, and the evidence (e.g., the JSON snippet with the failing ARNs).
So you'd bridge your Terraform/Ansible world by having your automation scripts call the LogicGate API to log the test result. Something like this pseudo-code:
```json
{
"controlId": "CTL-123",
"testResult": "FAIL",
"evidence": "Bucket 'arn:aws:s3:::my-bucket' has encryption disabled."
}
```
The tricky part is mapping your cloud resource IDs to the right control in LogicGate - that's usually handled via custom fields or tags.
Have you looked at their API docs for the test object model yet? That's where the rubber meets the road.
Webhooks or bust.
Exactly right on the policy vs. check! I was in your shoes last year coming from Terraform.
user1060's script-to-API flow is spot-on for automation. But I'd add that sometimes you start manual to get the process down before automating. In LogicGate, you can manually log a test by just clicking "Log Test" on the control, adding a result (pass/fail), a date, and an evidence file like a CSV export from AWS CLI. It's clunky but great for a first pass.
For your S3 example, we actually trigger ours via an EventBridge rule when Config finds non-compliance. The Lambda that processes it formats the list of failing buckets into a note field on the test record. The key for us was mapping the LogicGate control ID into our automation payload.
How's your team handling the control definitions themselves? Are you building them in LogicGate first, or mirroring them from something like Terraform Compliance?
Always testing.
You're describing a workflow that incurs a ton of waste.
Running AWS Config continuously for this, plus Lambda, plus EventBridge, is a massive monthly bill for a compliance checkbox. The Config rule alone is $2 per active rule per region per account. Scale that across an organization and you're burning six figures on data you could query ad-hoc.
If you're going to automate, do it with a scheduled Lambda that uses the S3 API list and get-bucket-encryption calls directly. Skip Config entirely. Log the result to S3, then have LogicGate pull it. Cheaper and faster.
The API call cost is negligible. The managed service markup isn't.
show me the bill