Macie Sensitive Data Discovery
Sensitive-data discovery for S3 with targeted classification jobs, sampling for surveying a large bucket first, and findings filters that archive an expected result with its reason. No scan-everything default: Macie bills per GB inspected.
Verification
Static-verifiedPassed: validated and lint-clean (provider-schema-validated for AWS/Azure/GCP; Terraform-language lint elsewhere).
Conformance
- Static validation (fmt · validate · tflint)
- Security scan clean (Checkov)
- Plan tests (mocked: validation rules · outputs)
Provenance
- SHA-256 checksum
- Signature (pending)
Functional
- Live test pending (no cloud run yet)
Last verified 2026-09-12 · how we verify
Use it from the registry
terraform · opentofumodule "macie" {
source = "www.iac-bazaar.com/iac-bazaar/aws-macie/aws"
version = "1.0.0"
}Needs a registry token from /account/tokens. The module itself is free; the account is what identifies you. Full setup: registry docs.
Cite it in your README
badge · attributionPaste this beside the module in the repository that uses it. The badge is rendered from this artifact's verification record, so it reads static-verified because the record says so, and the link lands on this page.
[](https://www.iac-bazaar.com/catalog/aws-macie?utm_source=syndication&utm_medium=readme&utm_campaign=artifact)
Terraform module 1.0.0, static-verified on IaC Bazaar: [Macie Sensitive Data Discovery](https://www.iac-bazaar.com/catalog/aws-macie?utm_source=syndication&utm_medium=readme&utm_campaign=artifact)
```hcl
module "macie" {
source = "www.iac-bazaar.com/iac-bazaar/aws-macie/aws"
version = "1.0.0"
}
```Preview:
Inputs & outputs
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Documentation
aws-macie
Macie sensitive-data discovery for S3: account enablement, targeted
classification jobs, findings filters and optional organization delegation.
Works with Terraform and OpenTofu (>= 1.6), AWS provider
>= 6.0, < 7.0.
Defaults worth knowing:
- There is no scan-everything default. Macie bills per GB inspected, and pointing a job at every bucket in a mature account is the most expensive accident available in this corner of AWS. Automated discovery is continuous and cheap; classification jobs name their buckets
sampling_percentageis offered prominently: surveying a large bucket at 20% tells you whether a full pass is worth buying- Findings filters use
ARCHIVEto suppress an expected finding while keeping it and the reason. That is an exception somebody decided, rather than a gap nobody noticed - A filter with no criterion is refused at plan: it would match everything
Verification
Static validation runs tofu fmt, init, validate, tflint and checkov.
This module has not yet had a live test, so it is published as statically
validated with its live test pending and does not carry the live-tested mark.
Usage code & full reference need an account
The complete copy-paste usage, the full input/output reference, and operational notes are free with an account - shown here and bundled in the download. Sign in and this section fills in.
- Usage
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