musabdulai-io/cloud-controls-evidence-kit
GitHub: musabdulai-io/cloud-controls-evidence-kit
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# Cloud Controls Evidence Kit
A drop-in scaffold for B2B SaaS and AI-product teams to organize the engineering controls and
evidence that customer security reviews, SOC 2 readiness work, and compliance platforms (Vanta,
Drata, Secureframe) ask for. Markdown source, MIT licensed, free to fork, edit, and use.
## What's inside
| Folder / file | What it is |
| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `controls-map.md` | Master mapping: control → required evidence → where to find it → owner → update cadence. ~30 controls across 6 categories. |
| `questionnaire-answer-examples.md` | 12 template answers for the questions that come up on customer security questionnaires (MFA, audit logs, backups, etc.). |
| `evidence-folder-template/` | Ready-to-use folder layout — six numbered category folders, each with a README and 3–4 evidence templates. Drop into your evidence repo and start filling in. |
| `platforms/aws.md`, `gcp.md`, `azure.md`, `github.md` | Where to find each piece of evidence on each platform: console paths, CLI commands, exports that satisfy auditors. |
| `LICENSE` | MIT. Use it, edit it, ship it, redistribute it. |
## How to use it
1. **Fork or download** this kit (link on the
[evidence kit page on musabdulai.com](https://musabdulai.com/evidence-kit)).
2. **Drop `evidence-folder-template/` into your own private repo** and rename it to whatever your
team calls evidence. Many teams use `compliance/` or `audit/`.
3. **Open `controls-map.md`** and adapt the table to your actual systems. Delete rows that don't
apply, add rows for systems we don't cover.
4. **Fill in each template** as you collect the evidence. Each template tells you what goes there,
where to find it, and how often to refresh it.
5. **When a customer questionnaire arrives**, paste answers from `questionnaire-answer-examples.md`
and attach the matching evidence from your folder.
## Tone and scope
This kit is opinionated and concrete. It names specific tools (CloudTrail, Vanta, GitHub branch
protection, Vertex AI) instead of staying framework-agnostic — because that's how the controls
actually map at most SaaS shops.
It does **not** cover:
- Drafting policies (privacy policy, security policy text) — talk to a lawyer; tools like StrongDM's
[Comply](https://github.com/strongdm/comply) are good for policy drafting.
- Compliance-platform-specific configuration (each platform has its own docs).
- Threat modeling, red-team plans, or incident response procedures — different scope.
This kit covers **the operational evidence engineering teams have to produce** when a buyer or
auditor asks for proof that a control is real.
## Updating cadence
Customer security reviews and auditors look for evidence that is **fresh**. The rule of thumb on
cadence:
| Evidence type | Refresh |
| -------------------------------------------------------------------- | ------------------------------- |
| Policy / config snapshots (MFA policy, branch protection, retention) | Quarterly |
| Operational logs / exports (IAM key inventory, deploy history) | Quarterly |
| Restore tests, DR drills | Quarterly or semi-annually |
| Incident runbook, on-call rotation | Annually unless a real incident |
| Vendor reviews, third-party access | Annually |
Each evidence template includes a recommended cadence.
## License
[MIT](https://github.com/musabdulai-io/cloud-controls-evidence-kit/blob/main/LICENSE). Use it
however helps you ship.
## Maintained by
Musah Abdulai · cloud controls implementation for B2B SaaS and AI-product teams ·
[musabdulai.com](https://musabdulai.com) · hello@musabdulai.com
If this kit saved you a day of evidence-gathering work and you'd like an engineer to actually do the
work for you, the website has a sample report showing what a Controls Review deliverable looks like:
[musabdulai.com/sample-report](https://musabdulai.com/sample-report).