When an AI proposes a fix to infrastructure or configuration, read every permission, network rule and secret reference that changed. A common failure is making an error go away by granting broader access. Approve only if each grant is the minimum the resource needs.
Why config fixes are different
A code fix usually changes what a program does. A configuration fix changes who is allowed to do what, and where traffic can flow. An access denied error is easy to clear by widening a policy, and a model asked to make a deployment succeed may take that route.
The OWASP Infrastructure as Code Security cheat sheet states the principle to hold on to. Permissions granted to the resources that IaC creates should be limited to what is required for them to do their work. It also says to limit who may create, update, run or delete the scripts and inventory.
What to look for
| Change in the diff | Question to ask |
|---|---|
| A wildcard in an action or resource list | Which specific actions are really needed? |
| A rule opening a port to all addresses | Who must reach this, and from where? |
| A role swapped for a more powerful one | What exactly failed before, and what is the narrowest role that fixes it? |
| A resource made public | Is public access the product requirement? |
| Encryption or logging switched off | Why, and who accepted that? |
| A secret value written into a file | Where should it live instead? |
On the last row, the same cheat sheet says secrets are not the problem, where you store them is, and that plain text files and source control expose them. It points to a separate secrets management guide.
A review routine
- Start with the error the change was meant to fix. Reproduce it if you can.
- Identify the narrowest change that resolves it. Compare with the AI's version.
- Read each added permission, port and exposure. If you cannot justify one, ask for it to be removed.
- Look at what was removed. Dropped logging, encryption and tagging reduce your ability to detect problems later.
- Run your static analysis and policy checks on the branch. The cheat sheet lists static analysis of IaC among its practices.
- Preview the plan in a safe environment, and read the plan output, not only the code.
Keep changes reversible
The cheat sheet recommends tracking IaC changes in version control with enough information to support a revert, and keeping infrastructure changes alongside the feature that needs them. For AI fixes, add a line in the pull request naming who can roll it back and how.
Treat these files as sensitive
Deployment and pipeline files run with powerful credentials. OWASP's guidance on AI coding lists workflow files, Dockerfiles and other build or deploy files among those needing heightened scrutiny, and recommends CODEOWNERS for them. See CODEOWNERS for bot opened pull requests.
Safeguard's policies and gates can hold a pull request on required checks, and its autonomous remediation is off by default with each category on Manual. A reviewer who understands the environment still makes the final call.
Quick check
Is a wildcard permission ever acceptable in an AI fix?
Rarely. If you must, scope it to a non production resource, record why, and set a date to narrow it.
Can I trust a plan output that shows no errors?
It shows what will change, not whether the change is wise. Read for added access and removed protections.
Sources
Last reviewed: 19 October 2026.
